{"id":"W4249297896","doi":"10.3410/f.1001043.16604","title":"Faculty Opinions recommendation of Optic flow is used to control human walking.","year":2001,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Control (management); Computer science; Psychology; Medical education; Data science; Artificial intelligence; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002358208,0.0006919472,0.001436299,0.0007153131,0.0003589327,0.0004178323,0.004065775,0.0008085044,0.0004300318],"category_scores_gemma":[0.003976881,0.0004672123,0.0008136958,0.003909698,0.0001832682,0.0006194046,0.0007289646,0.001038755,0.0002431862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659939,"about_ca_system_score_gemma":0.000481246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005616479,"about_ca_topic_score_gemma":0.0000108711,"domain_scores_codex":[0.9929178,0.0008769942,0.00230559,0.001108055,0.002253393,0.0005381791],"domain_scores_gemma":[0.9870997,0.0002578564,0.001870423,0.002682817,0.007527773,0.0005614056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004211555,0.0002877331,0.000002460687,0.002951991,0.0001496653,6.891957e-7,0.0003289002,2.702864e-7,0.00000257694,0.000284305,0.9910491,0.004938134],"study_design_scores_gemma":[0.0009836539,0.000178382,0.0003406774,0.01113468,0.0001247499,0.00007785758,0.00001560238,0.00006491919,0.00001686499,0.0000508435,0.9865444,0.0004673202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.00539e-7,0.0003848857,0.004602895,0.228875,0.001296015,0.001889762,0.7628076,0.00007384633,0.00006976668],"genre_scores_gemma":[0.00001963803,0.00006424933,0.003266153,0.01010873,0.000465482,0.0004302915,0.9846758,0.00002836871,0.0009413286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2218681,"threshold_uncertainty_score":0.999778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04316999422380458,"score_gpt":0.3586415332783931,"score_spread":0.3154715390545885,"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."}}