{"id":"W2033057266","doi":"10.1053/j.jfas.2008.04.013","title":"Reliability of a Computer-aided Color-coded Video-based System for Clinical Assessment of the Foot","year":2008,"lang":"en","type":"article","venue":"The Journal of Foot & Ankle Surgery","topic":"Lower Extremity Biomechanics and Pathologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Reliability (semiconductor); Foot (prosody); Computer science; Computer-aided; Artificial intelligence; Reliability engineering; Computer vision; Computer graphics (images); Multimedia; Engineering; Art","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":[0.004567292,0.0001522383,0.0007399008,0.00009049691,0.00008818104,0.000008017128,0.00041159,0.0001170008,0.000008725268],"category_scores_gemma":[0.000319516,0.00008568483,0.0007048423,0.0002252429,0.0001576134,0.00006215633,0.00006030051,0.0002785806,3.719775e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007966093,"about_ca_system_score_gemma":0.000254294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009634176,"about_ca_topic_score_gemma":0.000004237138,"domain_scores_codex":[0.9976194,0.0003653728,0.00135226,0.0001014727,0.0003572783,0.0002042388],"domain_scores_gemma":[0.9941519,0.004201451,0.0007452052,0.0004667719,0.000376822,0.00005781023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005438918,0.004365194,0.3534966,0.01105162,0.003193717,0.000247584,0.002360112,0.2122075,0.1858737,0.001688408,0.1867782,0.03329847],"study_design_scores_gemma":[0.00479737,0.002431075,0.5073711,0.002887315,0.0008527387,0.0006912972,0.0005793403,0.3674062,0.1037407,0.001265158,0.006988714,0.0009889045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691377,0.000316103,0.02806627,0.0001868541,0.001840521,0.000279709,0.00008887032,0.00003187906,0.00005214291],"genre_scores_gemma":[0.9967709,0.0001344331,0.002877682,0.00003324787,0.0001523182,0.00000541878,0.000002273021,0.00001813477,0.000005551196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1797895,"threshold_uncertainty_score":0.3494126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06396900904902118,"score_gpt":0.2972142175739971,"score_spread":0.2332452085249759,"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."}}