{"id":"W1971064164","doi":"10.1068/p3055","title":"Testing a Two-Component Model of Face Identification: Effects of Inversion, Contrast Reversal, and Direction of Lighting","year":2000,"lang":"en","type":"article","venue":"Perception","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Contrast (vision); Orientation (vector space); Psychology; Inversion (geology); Artificial intelligence; Perception; Computer vision; Face perception; Communication; Cognitive psychology; Computer science; Pattern recognition (psychology); Geometry; Mathematics; Geology; 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":[0.003759283,0.001147993,0.000624453,0.000389341,0.00022031,0.0006194341,0.001051176,0.0006607295,0.003896418],"category_scores_gemma":[0.01124422,0.0007376415,0.001194325,0.0002161554,0.001017339,0.001204107,0.001040315,0.001214017,0.0006187871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008099296,"about_ca_system_score_gemma":0.0006829935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003019768,"about_ca_topic_score_gemma":0.002350873,"domain_scores_codex":[0.998321,0.0005652677,0.0001157233,0.0004381617,0.0004371697,0.0001227683],"domain_scores_gemma":[0.990007,0.007242423,0.0007943167,0.001158946,0.000481919,0.0003154365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02477043,0.002391287,0.0415158,0.0004765389,0.0004766966,0.0002920976,0.0008703308,0.009195901,0.8555472,0.003063695,0.0003969009,0.06100312],"study_design_scores_gemma":[0.001802506,0.02178094,0.2959418,0.00006987295,0.0009091315,0.001274099,0.0003437034,0.284837,0.3804768,0.01055343,0.001729276,0.0002814591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735541,0.00006921851,0.02324497,0.00008504358,0.00004615536,0.0002167226,0.0001315195,0.00008969526,0.002562576],"genre_scores_gemma":[0.9802104,0.00007754529,0.01772194,0.00009736809,0.00001134821,0.0001971972,0.0002256586,0.00004886012,0.001409681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003896418,"threshold_uncertainty_score":0.01988119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03834233995259057,"score_gpt":0.2684750631428222,"score_spread":0.2301327231902316,"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."}}