{"id":"W2769404334","doi":"","title":"“I Can’t See Your Eyes Well ‘Cause Your Nose is Too Short”: An Interactivity Account of Face Processing","year":2003,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Face (sociological concept); Interactivity; Component (thermodynamics); Computer science; Face perception; Process (computing); Representation (politics); Artificial intelligence; Cognitive psychology; Cognitive science; Computer vision; Human–computer interaction; Psychology; Multimedia","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007026658,0.0003854871,0.0002069927,0.0003737448,0.0003345732,0.001263611,0.000932007,0.0006387177,0.006023952],"category_scores_gemma":[0.001742393,0.0002489922,0.0006887875,0.0002130084,0.002096432,0.00397848,0.001141636,0.0008252009,0.0007531618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003643889,"about_ca_system_score_gemma":0.0001585934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004308911,"about_ca_topic_score_gemma":0.0003462354,"domain_scores_codex":[0.9996992,0.00008654694,0.000009549949,0.00009339117,0.00006990282,0.00004138935],"domain_scores_gemma":[0.9994571,0.0002927502,0.00008021607,0.00009021955,0.00005215038,0.00002758403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003683474,0.0000754211,0.005767748,0.0002166969,0.0001368459,0.001222774,0.003344798,0.0144748,0.05309699,0.8387492,0.002878912,0.07966743],"study_design_scores_gemma":[0.00005643476,0.0001500018,0.01021878,0.00003862732,0.00009950888,0.001227209,0.0005179513,0.07141835,0.008517954,0.8999779,0.007726756,0.00005056792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2661306,0.001250271,0.6423577,0.004979586,0.0001099936,0.00006279365,0.0001461296,0.0004497234,0.08451321],"genre_scores_gemma":[0.9718462,0.0003244929,0.02250477,0.0004067526,0.00007578827,0.00004200733,0.00008165007,0.00006567541,0.004652802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006023952,"threshold_uncertainty_score":0.02015209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06278463588174475,"score_gpt":0.2952770602898663,"score_spread":0.2324924244081215,"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."}}