{"id":"W4224285238","doi":"10.1097/oi9.0000000000000189","title":"Sensors and digital medicine in orthopaedic surgery","year":2022,"lang":"en","type":"article","venue":"OTA International The Open Access Journal of Orthopaedic Trauma","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; École de Technologie Supérieure; Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Digital health; Health care; Medicine; The Internet; Data acquisition; Relevance (law); Medical emergency; Computer science; World Wide Web","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":[0.002178477,0.000677764,0.0005562397,0.002520321,0.001256322,0.006344583,0.000715366,0.003383103,0.01203398],"category_scores_gemma":[0.003876081,0.0002821064,0.0005259133,0.002548933,0.005301123,0.006445271,0.002888879,0.003878791,0.003223791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001968187,"about_ca_system_score_gemma":0.002147638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001366319,"about_ca_topic_score_gemma":0.002669486,"domain_scores_codex":[0.9980453,0.0006991963,0.0001504153,0.0001809378,0.0007873101,0.0001368792],"domain_scores_gemma":[0.9970527,0.001747464,0.0002459346,0.0001352921,0.0005383814,0.0002801847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006978158,0.00009027919,0.00226678,0.002255562,0.00005286942,0.0005284551,0.00198296,0.001072264,0.001882585,0.4406503,0.0767773,0.4723708],"study_design_scores_gemma":[0.000007612318,0.0001294783,0.001813796,0.002603878,0.00002503402,0.001437644,0.001722507,0.000549,0.0006602561,0.1377546,0.8532312,0.00006512058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.003628666,0.7241668,0.02195635,0.0955755,0.0110464,0.00008119157,0.0001389596,0.0002575408,0.1431486],"genre_scores_gemma":[0.0863359,0.7851455,0.03202779,0.02369839,0.01215073,0.000101461,0.0001410194,0.0001279862,0.06027125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01203398,"threshold_uncertainty_score":0.04025763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2306174257332409,"score_gpt":0.4671568197241059,"score_spread":0.236539393990865,"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."}}