{"id":"W4311800369","doi":"10.1167/jov.22.14.4170","title":"Ensemble representation for animacy: Effects of shape and category","year":2022,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Numerosity adaptation effect; Animacy; Perception; Representation (politics); Artificial intelligence; Psychology; Cognitive psychology; Object (grammar); Pattern recognition (psychology); Visual perception; Computer science; Mathematics; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001665122,0.0005915282,0.0007165563,0.0007429619,0.000426705,0.001743846,0.0006575565,0.0007452584,0.004745817],"category_scores_gemma":[0.01994526,0.0005400055,0.0006645762,0.0003409759,0.0006093779,0.002699291,0.002166303,0.001372771,0.000522667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790284,"about_ca_system_score_gemma":0.000270215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402133,"about_ca_topic_score_gemma":0.001387198,"domain_scores_codex":[0.999122,0.0001817442,0.00004970041,0.0002938027,0.0002563128,0.00009647216],"domain_scores_gemma":[0.9898871,0.006544953,0.001107078,0.001283292,0.0005671027,0.0006104803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002923333,0.0003634673,0.05916744,0.0003650388,0.0003612446,0.0003403981,0.001639022,0.006217131,0.7956195,0.00213411,0.001691285,0.1291779],"study_design_scores_gemma":[0.0001723105,0.001374812,0.8059067,0.0001284404,0.0004271879,0.001562142,0.0007086552,0.1071392,0.0593924,0.02026882,0.002750196,0.000169222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696943,0.0003276092,0.02338831,0.0001874084,0.00009428312,0.00007669931,0.0002183331,0.0002261989,0.005786786],"genre_scores_gemma":[0.9894566,0.0001020608,0.008598219,0.0001110874,0.0000246644,0.00004961146,0.0003144543,0.0002047069,0.001138593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004745817,"threshold_uncertainty_score":0.01587629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009766105437104123,"score_gpt":0.2834193855749276,"score_spread":0.2736532801378235,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}