{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004775238,0.0001063308,0.000149946,0.0001825479,0.0002133698,0.00002848497,0.00007476338,0.0000851109,0.00005885262],"category_scores_gemma":[0.0004270528,0.00009835922,0.00002373791,0.0006056225,0.0009646546,0.0002323619,0.00002228058,0.0001170051,0.000009674266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128633,"about_ca_system_score_gemma":0.0001185669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000385696,"about_ca_topic_score_gemma":0.000002213882,"domain_scores_codex":[0.9990002,0.00008538028,0.0002143744,0.000218428,0.0002806106,0.0002010315],"domain_scores_gemma":[0.9992884,0.0001222828,0.00005016613,0.00006150281,0.0003006604,0.0001769747],"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":[0.00001398794,0.00002631802,0.001402745,0.000009681567,0.00001230407,0.000007994998,0.000486256,0.001334189,0.9765105,0.0195841,0.0001196806,0.0004922661],"study_design_scores_gemma":[0.0003983667,0.0004199606,0.1567043,0.00004428079,0.00001092001,0.0003023246,0.0007920366,0.002015091,0.8345577,0.004512138,0.00007114027,0.0001717819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964021,0.00004628518,0.001308449,0.00006472739,0.0003953022,0.0002051289,0.00003857229,0.00002729371,0.001512171],"genre_scores_gemma":[0.9993646,4.987978e-7,0.0004914562,0.00003797861,0.00003767657,0.00002706711,0.000006598731,0.000005701603,0.00002846283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1553016,"threshold_uncertainty_score":0.4010972,"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."}}