{"meta":{"query_hash":"100c0d36cd4a","filters":{"venue":"Frontiers of artificial intelligence, ethics and multidisciplinary applications."},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/100c0d36cd4a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Frontiers+of+artificial+intelligence%2C+ethics+and+multidisciplinary+applications."},"results":[{"id":"W4392131868","doi":"10.1007/978-981-99-9836-4_26","title":"New Frontiers for AI, Eco-Art, and Public Space Intersection: Fostering Interactive Environmental Engagements","year":2024,"lang":"en","type":"book-chapter","venue":"Frontiers of artificial intelligence, ethics and multidisciplinary applications.","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Intersection (aeronautics); Space (punctuation); Public space; Sociology; Computer science; Human–computer interaction; Architectural engineering; Geography; Engineering; Cartography","score_opus":0.057640756728699206,"score_gpt":0.32298388845401294,"score_spread":0.2653431317253137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392131868","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048891857,0.0049512647,0.03791052,0.019983992,0.00048123603,0.0000621174,0.000039358918,0.00032595385,0.8873537],"genre_scores_gemma":[0.87904316,0.0027178088,0.01883532,0.001236922,0.00013767624,0.00016933159,0.000057127043,0.00021953695,0.09758314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983205,0.00095149665,0.000023379142,0.0001326727,0.0003287391,0.00024325268],"domain_scores_gemma":[0.9985073,0.0008732716,0.00007086501,0.00014795577,0.00010649792,0.0002940558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002312393,0.00040893196,0.00024808294,0.0009797203,0.003834024,0.012020969,0.0011598085,0.001983221,0.013220433],"category_scores_gemma":[0.0021292262,0.00030387944,0.00039100493,0.0006663498,0.010116764,0.013109329,0.01342153,0.002640319,0.0017274645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038981252,0.000096560354,0.00065426197,0.00019349043,0.0000074038608,0.00019729765,0.041328553,0.00077916024,0.0015354269,0.8605524,0.018721968,0.07589451],"study_design_scores_gemma":[0.000015124408,0.000043951473,0.0011290095,0.00038604022,0.000010352581,0.00020213802,0.05022524,0.0016526094,0.001417293,0.45760554,0.4872954,0.000017251792],"about_ca_topic_score_codex":0.0010960146,"about_ca_topic_score_gemma":0.004063774,"teacher_disagreement_score":0.013220433,"about_ca_system_score_codex":0.0022933313,"about_ca_system_score_gemma":0.0029963783,"threshold_uncertainty_score":0.044226766},"labels":[],"label_agreement":null},{"id":"W4392131914","doi":"10.1007/978-981-99-9836-4_34","title":"A Low-Power Analog Bell-Shaped Classifier Based on Parallel-Connected Gaussian Function Circuits","year":2024,"lang":"en","type":"book-chapter","venue":"Frontiers of artificial intelligence, ethics and multidisciplinary applications.","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Gaussian; Computer science; Electronic circuit; Classifier (UML); Electronic engineering; Electrical engineering; Physics; Artificial intelligence; Engineering; Quantum mechanics","score_opus":0.044491944216944634,"score_gpt":0.2935045115530999,"score_spread":0.2490125673361553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392131914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0120054465,0.0012224943,0.9585358,0.0005286237,0.0004103349,0.00015349379,0.00017866181,0.0031050262,0.023860022],"genre_scores_gemma":[0.5145185,0.0008897104,0.44580474,0.0018908887,0.00033464373,0.00014318113,0.00042197888,0.00020284668,0.035793524],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995869,0.00006366169,0.00001604476,0.0000970312,0.00019345772,0.000042847034],"domain_scores_gemma":[0.9996649,0.00010915442,0.000019390884,0.000045331246,0.00013872948,0.000022527951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041832126,0.00045701678,0.0005312015,0.000499632,0.000533586,0.0013559374,0.0023992837,0.0012543884,0.010131388],"category_scores_gemma":[0.0009994231,0.0002459989,0.00035307673,0.00066846085,0.00048274346,0.0015146148,0.0006689714,0.000985396,0.0034371712],"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":[0.00043875692,0.00027242323,0.00060603744,0.0003928467,0.00011692209,0.00030831233,0.00013460191,0.031123769,0.09358564,0.0634986,0.025681956,0.7838402],"study_design_scores_gemma":[0.000056128592,0.00048677393,0.0006206186,0.0000925675,0.00012999485,0.00076002517,0.000043155127,0.8923032,0.040717587,0.026332986,0.038404077,0.000052893578],"about_ca_topic_score_codex":0.0017610673,"about_ca_topic_score_gemma":0.004626759,"teacher_disagreement_score":0.010131388,"about_ca_system_score_codex":0.00078263815,"about_ca_system_score_gemma":0.0006544337,"threshold_uncertainty_score":0.03389287},"labels":[],"label_agreement":null}]}