{"meta":{"query_hash":"e26b1473d901","filters":{"venue":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/e26b1473d901","api":"https://metacan.xera.ac/api/v1/cohort?venue=INTERNATIONAL+CONFERENCE+ON+MULTIMODAL+INTERACTION"},"results":[{"id":"W4387031219","doi":"10.1145/3577190.3614149","title":"Classification of Alzheimer's Disease with Deep Learning on Eye-tracking Data","year":2023,"lang":"en","type":"article","venue":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Generality; Artificial intelligence; Leverage (statistics); Classifier (UML); Confusion; Machine learning; Deep learning; Eye tracking; Pattern recognition (psychology)","score_opus":0.13781453031235621,"score_gpt":0.389955937920352,"score_spread":0.25214140760799575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387031219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78814566,0.000014078825,0.18673296,0.011245874,0.0019230291,0.00036269033,0.00004699408,0.0012887814,0.0102399355],"genre_scores_gemma":[0.9979145,0.000020193222,0.0015778929,0.00005370117,0.000062367726,0.000022262482,0.00022805917,0.000012566427,0.000108486274],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846935,0.000077404315,0.0002629347,0.00057095237,0.00044602103,0.00017331999],"domain_scores_gemma":[0.9985565,0.00014759983,0.00029193188,0.0005993336,0.0003422695,0.00006238057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022012969,0.00015593397,0.00013668225,0.00042381292,0.00009522142,0.00013575322,0.0011013236,0.00005960979,0.00004896672],"category_scores_gemma":[0.00023488201,0.00013727874,0.0000385767,0.00028555738,0.000068858615,0.00072126935,0.00020168505,0.00038447333,0.00023535066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006985211,0.0006713585,0.035655934,0.000021714468,0.00033947718,0.00008651847,0.0006257368,0.020142168,0.027840614,0.32488996,0.00031248975,0.5887155],"study_design_scores_gemma":[0.00023518634,0.00014838764,0.25704417,0.0001476847,0.000011241947,0.0000023041716,0.0001676867,0.7394617,0.0016591435,0.00056155125,0.00043571694,0.00012523333],"about_ca_topic_score_codex":0.00004787099,"about_ca_topic_score_gemma":0.000019225721,"teacher_disagreement_score":0.7193195,"about_ca_system_score_codex":0.000059851864,"about_ca_system_score_gemma":0.000047175534,"threshold_uncertainty_score":0.5598064},"labels":[],"label_agreement":null},{"id":"W4387421163","doi":"10.1145/3577190.3614113","title":"EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning","year":2023,"lang":"en","type":"article","venue":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Transfer of learning; Cognitive load; Electroencephalography; Transformer; Artificial intelligence; Machine learning; Cognition; Feature extraction; Feature (linguistics); Supervised learning; Pattern recognition (psychology); Artificial neural network; Psychology; Voltage","score_opus":0.1382264628507966,"score_gpt":0.37293542943630026,"score_spread":0.23470896658550366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387421163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96843207,0.0000019156014,0.023014113,0.0021593114,0.0013808962,0.00025138335,0.000031333046,0.00031750696,0.0044114613],"genre_scores_gemma":[0.9983242,0.000021374397,0.00023991795,0.0003461448,0.00013541192,0.00002353167,0.000065315675,0.000023564971,0.00082050916],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816304,0.00020686844,0.00026337543,0.000617013,0.00051295816,0.00023672242],"domain_scores_gemma":[0.9989212,0.00048652943,0.000126808,0.00009084413,0.0002996456,0.00007496965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002198578,0.00022653812,0.00015801865,0.00037301157,0.00024024799,0.0003405658,0.00019157506,0.00012777215,0.00019486602],"category_scores_gemma":[0.00049712794,0.00022183212,0.00007808928,0.00024618095,0.00009143896,0.0006319091,0.000041518175,0.00056096073,0.0001416977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043313744,0.000101986,0.0008644656,0.000021029105,0.000022895581,0.000020631296,0.0013196748,0.0063951584,0.9590447,0.0037576302,0.000058291625,0.027960427],"study_design_scores_gemma":[0.0006729711,0.00013497367,0.008841446,0.00035635746,0.000012098143,0.000017334258,0.0011827676,0.9003495,0.08777535,0.00016087005,0.00028812562,0.000208185],"about_ca_topic_score_codex":0.00007186076,"about_ca_topic_score_gemma":0.000013947825,"teacher_disagreement_score":0.89395434,"about_ca_system_score_codex":0.00023602005,"about_ca_system_score_gemma":0.000072783296,"threshold_uncertainty_score":0.9046051},"labels":[],"label_agreement":null},{"id":"W4387421389","doi":"10.1145/3577190.3616883","title":"The 5th Workshop on Modeling Socio-Emotional and Cognitive Processes from Multimodal Data in the Wild (MSECP-Wild)","year":2023,"lang":"en","type":"article","venue":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Cognition; Computer science; Data modeling; Cognitive science; Psychology; Software engineering; Neuroscience","score_opus":0.25170366204663724,"score_gpt":0.47207466802494147,"score_spread":0.22037100597830422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387421389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8561657,0.000041890322,0.0010047094,0.10966807,0.0018791012,0.0005839152,0.0004017559,0.00011757503,0.030137276],"genre_scores_gemma":[0.9960146,0.0011459594,0.000054459197,0.0011991594,0.00076900964,0.00004446486,0.00042134195,0.0000141767705,0.0003368099],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975745,0.0003698836,0.0003022663,0.0004569449,0.0009925895,0.0003037855],"domain_scores_gemma":[0.9947257,0.0041531106,0.00016261401,0.00021526655,0.0006681455,0.00007514372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014325425,0.00017887866,0.00013850721,0.00013160621,0.0010301573,0.00096783345,0.0008869445,0.00017882079,0.00011410293],"category_scores_gemma":[0.0055887257,0.00012779488,0.000046025267,0.00025189575,0.00030138742,0.0010704104,0.00015823075,0.0008622343,0.00009611284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033993402,0.0018220316,0.013772848,0.000051405128,0.00093014183,0.00009743386,0.31488812,0.013184443,0.00034757008,0.36532754,0.0057622734,0.28041688],"study_design_scores_gemma":[0.0010072584,0.00009637141,0.011560628,0.00085234625,0.000030227131,0.0000014572088,0.15181823,0.7737266,0.000014781458,0.057633106,0.0028760796,0.00038296185],"about_ca_topic_score_codex":0.009327428,"about_ca_topic_score_gemma":0.013749023,"teacher_disagreement_score":0.7605421,"about_ca_system_score_codex":0.000134742,"about_ca_system_score_gemma":0.00030372213,"threshold_uncertainty_score":0.9972696},"labels":[],"label_agreement":null},{"id":"W4387421459","doi":"10.1145/3577190.3614107","title":"Using Augmented Reality to Assess the Role of Intuitive Physics in the Water-Level Task","year":2023,"lang":"en","type":"article","venue":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Augmented reality; Task (project management); Computer science; Human–computer interaction; Engineering; Systems engineering","score_opus":0.30705405089786897,"score_gpt":0.4138676550593285,"score_spread":0.10681360416145952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387421459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96767175,8.609588e-7,0.022231242,0.0010172573,0.00086088176,0.00034033647,0.00011285035,0.00008889502,0.00767595],"genre_scores_gemma":[0.9994163,0.0000075053204,0.00008667945,0.000107762105,0.000111151574,0.000052797353,0.0001860934,0.000010374954,0.000021321872],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913335,0.00008944676,0.0002358941,0.00012760212,0.00029423725,0.00011944436],"domain_scores_gemma":[0.99946374,0.00013510654,0.000047708938,0.000114154594,0.00021922619,0.000020094503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000253889,0.000103186765,0.00008767008,0.0001238119,0.000044770615,0.000059118378,0.00021348555,0.000040298528,0.00008618881],"category_scores_gemma":[0.00006336036,0.00006118357,0.00004412991,0.00020460931,0.000022012493,0.00020240385,0.00003253395,0.00022309546,0.000097793956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002707101,0.00016224768,0.0008828389,0.000018040935,0.00010319892,0.0000048867387,0.0073623783,0.1766934,0.7127703,0.0127981,0.00017162132,0.08876228],"study_design_scores_gemma":[0.00021786276,0.00003433151,0.008308422,0.00010675245,0.000006632245,0.0000020750067,0.0026757587,0.8478342,0.13708365,0.0032219747,0.0004150022,0.000093297174],"about_ca_topic_score_codex":0.0006369072,"about_ca_topic_score_gemma":0.000165955,"teacher_disagreement_score":0.67114085,"about_ca_system_score_codex":0.00013038043,"about_ca_system_score_gemma":0.000011685385,"threshold_uncertainty_score":0.24949935},"labels":[],"label_agreement":null},{"id":"W4387421718","doi":"10.1145/3577190.3614141","title":"Toward Fair Facial Expression Recognition with Improved Distribution Alignment","year":2023,"lang":"en","type":"article","venue":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Computer science; Kernel (algebra); Classifier (UML); Artificial intelligence; Pattern recognition (psychology); Facial expression; Attractiveness; Expression (computer science); Facial expression recognition; Machine learning; Mathematics; Facial recognition system; Statistics","score_opus":0.07736451981218141,"score_gpt":0.31963338820382053,"score_spread":0.24226886839163914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387421718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27660197,0.0000023736484,0.70067984,0.008695207,0.0027915817,0.0005069981,0.00029818027,0.0010939481,0.009329913],"genre_scores_gemma":[0.995918,0.000044209664,0.001923279,0.00018527466,0.00013464974,0.000107393294,0.001225723,0.000010655227,0.00045084447],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833405,0.00008022556,0.000297115,0.00052620436,0.00052498287,0.00023743625],"domain_scores_gemma":[0.9989719,0.000070504895,0.00020006881,0.00021149976,0.00044172615,0.00010429176],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016466825,0.00020545912,0.00015357083,0.00027969404,0.00013227915,0.0003594225,0.0004187573,0.00008847333,0.00042265907],"category_scores_gemma":[0.00007106186,0.00017405544,0.000108863904,0.0003458424,0.000032467666,0.0010646709,0.00011013731,0.00023534468,0.0011666586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008997465,0.00075095694,0.0004392795,0.00003327518,0.0003092081,0.000082737206,0.0015580398,0.0023021607,0.22344711,0.01043033,0.0035508047,0.7561963],"study_design_scores_gemma":[0.0010952,0.0002938554,0.0013553994,0.00023541642,0.000015399673,0.00002068712,0.00075357937,0.9102862,0.08068511,0.0021558814,0.0027081554,0.00039510828],"about_ca_topic_score_codex":0.00009815146,"about_ca_topic_score_gemma":0.000025508825,"teacher_disagreement_score":0.9079841,"about_ca_system_score_codex":0.00022866912,"about_ca_system_score_gemma":0.000048823913,"threshold_uncertainty_score":0.999611},"labels":[],"label_agreement":null}]}