{"meta":{"query_hash":"b5ac7113bb8f","filters":{"venue":"AI Computer Science and Robotics Technology"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/b5ac7113bb8f","api":"https://metacan.xera.ac/api/v1/cohort?venue=AI+Computer+Science+and+Robotics+Technology"},"results":[{"id":"W4223609001","doi":"10.5772/acrt.02","title":"MRF Models Based on a Neighborhood Adaptive Class Conditional Likelihood For Multimodal Change Detection","year":2022,"lang":"en","type":"article","venue":"AI Computer Science and Robotics Technology","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Segmentation; Pixel; Change detection; Context (archaeology); Pattern recognition (psychology); Statistical model; Estimator; Bayesian probability; Image segmentation; Markov random field; Modality (human–computer interaction); Markov process; Mathematics; Statistics; Geography","score_opus":0.022469881611816827,"score_gpt":0.22935691942199082,"score_spread":0.206887037810174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223609001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004262384,0.0000230386,0.9919516,0.0024225782,0.0005114066,0.0003802141,0.000013943029,0.00039212045,0.000042734307],"genre_scores_gemma":[0.93274057,0.0000028464453,0.066529095,0.00056232786,0.0000667451,0.0000711009,0.000008984763,0.000016714479,0.000001629066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989378,0.000013406957,0.0001382422,0.00035211624,0.00025942974,0.0002990469],"domain_scores_gemma":[0.9994309,0.000056299035,0.00004157371,0.00024638497,0.00017553894,0.00004932546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021275623,0.00012673784,0.0001257859,0.0005679753,0.0004456322,0.000045378194,0.00024250556,0.000083675186,0.0000010305594],"category_scores_gemma":[0.000017294424,0.00013646048,0.000026585132,0.000783085,0.00026329246,0.00022494428,0.000111727044,0.000259881,0.0000021501921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009587173,0.000041851894,0.000012971248,0.0000076098822,0.000006182896,0.000002671268,0.00005894036,0.9048455,0.0040761195,0.0063430397,0.00006299323,0.08453253],"study_design_scores_gemma":[0.00037922425,0.00045844037,0.00025675155,0.0000076204606,0.000007794417,0.000023498615,0.000025315832,0.9859993,0.0023646653,0.010194925,0.00013117,0.0001512947],"about_ca_topic_score_codex":0.000002435371,"about_ca_topic_score_gemma":0.0000030018589,"teacher_disagreement_score":0.9284782,"about_ca_system_score_codex":0.00021461055,"about_ca_system_score_gemma":0.0000652037,"threshold_uncertainty_score":0.5564697},"labels":[],"label_agreement":null}]}