{"id":"W1153875826","doi":"","title":"Contributions of Local Orientational and Positional Contour Features to Shape Discrimination","year":2003,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Artificial intelligence; Computer vision; Psychology; 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":[0.0007781283,0.0006446879,0.0005659798,0.001003282,0.000362947,0.002238694,0.0004927414,0.0007049452,0.003326003],"category_scores_gemma":[0.00456924,0.0003714324,0.0004391058,0.0008742681,0.0005970792,0.001875681,0.000831718,0.0007105092,0.0008523851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002188641,"about_ca_system_score_gemma":0.0003125598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000753084,"about_ca_topic_score_gemma":0.0008772518,"domain_scores_codex":[0.9997618,0.00003412955,0.000009158185,0.00006690225,0.00008386878,0.0000441119],"domain_scores_gemma":[0.9973422,0.00142126,0.0001848808,0.0002791832,0.0005313603,0.0002411392],"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":[0.0008065643,0.0002342627,0.01093983,0.0002196011,0.0000817621,0.0002233273,0.0001837426,0.009970715,0.5156785,0.008161343,0.001301518,0.4521988],"study_design_scores_gemma":[0.0001496903,0.0006843755,0.1472887,0.0001152735,0.000433163,0.001639896,0.0003825268,0.5586087,0.2492212,0.0350692,0.006196191,0.0002112554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6711014,0.003294497,0.2877376,0.0005680144,0.0003506285,0.00009141741,0.0002421997,0.0006092603,0.03600493],"genre_scores_gemma":[0.9698797,0.001243377,0.02382121,0.0001393326,0.0001495662,0.00001793086,0.0002257835,0.0002170237,0.004306052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003326003,"threshold_uncertainty_score":0.01112658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02563641017189169,"score_gpt":0.3217375390184716,"score_spread":0.29610112884658,"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."}}