{"id":"W6939881440","doi":"10.6084/m9.figshare.c.4943637.v1","title":"Towards improving the identification of anterior cruciate ligament tears in primary point-of-care settings","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Alberta; University of British Columbia","funders":"","keywords":"Logistic regression; Anterior cruciate ligament; Odds ratio; Odds; Medical diagnosis; Univariate; Medical record; Univariate analysis; Descriptive statistics","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":[0.04521821,0.001245196,0.001969034,0.006479749,0.000966845,0.006463673,0.002960247,0.001638455,0.004512409],"category_scores_gemma":[0.1734792,0.0009906694,0.002093441,0.004131195,0.0007465407,0.003825068,0.004985836,0.002894581,0.001991963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533097,"about_ca_system_score_gemma":0.005798047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01350505,"about_ca_topic_score_gemma":0.01722185,"domain_scores_codex":[0.968176,0.02114455,0.003055468,0.003200793,0.003288478,0.001134735],"domain_scores_gemma":[0.8538538,0.08290477,0.02475336,0.006972527,0.02723207,0.004283498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001224814,0.0003686936,0.9456035,0.001072689,0.000246161,0.0000988114,0.0007797387,0.0007229893,0.0001848136,0.0002783158,0.004034767,0.04648695],"study_design_scores_gemma":[0.0002184317,0.001683399,0.938718,0.005591568,0.0007983675,0.0009684184,0.006217227,0.02983842,0.00110088,0.004179366,0.01054225,0.0001437291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8540484,0.01641502,0.0609875,0.03653413,0.0006335088,0.003029425,0.009735876,0.00147527,0.01714092],"genre_scores_gemma":[0.9038048,0.003481209,0.0846381,0.002903944,0.0003624978,0.00118388,0.00297427,0.0000522696,0.0005988937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04521821,"threshold_uncertainty_score":0.2391396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195843554019009,"score_gpt":0.2126477466067542,"score_spread":0.2006893110665642,"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."}}