{"id":"W4381951399","doi":"10.1016/j.media.2023.102871","title":"Automatic labeling of Parkinson’s Disease gait videos with weak supervision","year":2023,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Centre of Excellence for Women's Health; Vancouver Coastal Health; University of British Columbia Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gait; Artificial intelligence; Computer science; Physical medicine and rehabilitation; Machine learning; Rating scale; A priori and a posteriori; Parkinson's disease; Estimator; Pattern recognition (psychology); Disease; Medicine; Mathematics; Statistics; Pathology","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":[0.0002632516,0.0006116623,0.0005492286,0.001312096,0.0002865903,0.0004952005,0.0004535183,0.0006370373,0.001064028],"category_scores_gemma":[0.0008571849,0.0002383562,0.0004568232,0.0006858648,0.0002106345,0.0003021593,0.0004536011,0.0004926412,0.0006684606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000260783,"about_ca_system_score_gemma":0.0007816044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005918639,"about_ca_topic_score_gemma":0.01494247,"domain_scores_codex":[0.9997748,0.00003554194,0.00001407017,0.00007934894,0.00004371392,0.00005250835],"domain_scores_gemma":[0.9997138,0.00005058741,0.00004510233,0.00004843649,0.0001084393,0.00003358673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009545152,0.0003469507,0.01404776,0.0003536656,0.0001163531,0.0005550159,0.00009918589,0.01500861,0.142902,0.00134634,0.01926009,0.8050096],"study_design_scores_gemma":[0.0000605392,0.0003977508,0.03792661,0.0001245015,0.0001160858,0.00174484,0.0001388655,0.879151,0.06500202,0.004188183,0.01110864,0.00004094163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3416145,0.002253624,0.6413186,0.0005718807,0.0002900698,0.0003384669,0.006230675,0.003299958,0.004082162],"genre_scores_gemma":[0.7757987,0.0009042617,0.2063658,0.0002309483,0.0001584554,0.0001880668,0.01105591,0.0001911605,0.005106755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005918639,"threshold_uncertainty_score":0.0117684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161005558782584,"score_gpt":0.2624537000084959,"score_spread":0.2508436444206701,"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."}}