{"id":"W2149897504","doi":"10.1098/rsbl.2012.0850","title":"Monsters are people too","year":2012,"lang":"en","type":"article","venue":"Biology Letters","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Earl Haig Secondary School","funders":"","keywords":"Creatures; Gaze; Biology; Face (sociological concept); Cognitive psychology; Psychology; Artificial intelligence; Natural (archaeology); Computer science","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":[0.0002502034,0.0003176611,0.0002763054,0.0003530667,0.001040937,0.0018875,0.000250558,0.0004707889,0.01590503],"category_scores_gemma":[0.0008789954,0.0001752875,0.000162514,0.0003000057,0.001479308,0.001503019,0.00115186,0.0005681576,0.003000257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000478468,"about_ca_system_score_gemma":0.0003226785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002345,"about_ca_topic_score_gemma":0.01888567,"domain_scores_codex":[0.999727,0.0000413188,0.00001133942,0.00009723508,0.00005948194,0.0000637116],"domain_scores_gemma":[0.999621,0.00004038845,0.0001175045,0.00005226588,0.00005603516,0.0001127854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007502681,0.0001577528,0.2455676,0.001067254,0.0003343335,0.003309517,0.05690705,0.0002062085,0.05549962,0.04549709,0.06483033,0.525873],"study_design_scores_gemma":[0.00001992066,0.0002042805,0.4246066,0.0004272136,0.0001221529,0.00729356,0.04183386,0.0001693873,0.004873243,0.009918441,0.510435,0.00009635522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8171639,0.005610658,0.003329827,0.006450546,0.0008478246,0.00003925415,0.0005885223,0.0002678324,0.1657016],"genre_scores_gemma":[0.9476247,0.001773295,0.001563273,0.00394562,0.0001602486,0.00001718601,0.0002333239,0.00005064322,0.04463158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01590503,"threshold_uncertainty_score":0.05320758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05964308022472772,"score_gpt":0.2884537092593736,"score_spread":0.2288106290346459,"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."}}