{"id":"W6958066782","doi":"10.6084/m9.figshare.12151059.v1","title":"Additional file 1 of Towards improving the identification of anterior cruciate ligament tears in primary point-of-care settings","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Romani and Gypsy Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Alberta; University of British Columbia","funders":"","keywords":"Anterior cruciate ligament; Identification (biology); Tears; Disease; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007784839,0.00007559676,0.0002493804,0.00003407577,0.0001026546,0.000002851869,0.0001681291,0.00005964271,0.6678173],"category_scores_gemma":[0.003919596,0.0000584764,0.00007919616,0.0001524038,0.0000132141,0.00007359643,0.0002295508,0.0001769679,0.0001837566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004841326,"about_ca_system_score_gemma":0.0002137901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001896186,"about_ca_topic_score_gemma":0.00001297803,"domain_scores_codex":[0.9987449,0.00008757927,0.000699964,0.0001436409,0.0001878424,0.0001360744],"domain_scores_gemma":[0.9981304,0.0007301253,0.0007427797,0.0001372629,0.0002340298,0.00002540977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001864986,0.00001373447,0.00007176276,0.002650652,0.00001184263,7.578819e-7,0.008224168,9.918556e-7,0.0008843975,3.479027e-7,0.9814677,0.006655015],"study_design_scores_gemma":[0.0007254778,0.0002594395,0.7229407,0.06934022,0.0000233177,6.211683e-7,0.02839819,0.000240631,0.002685693,0.0000290256,0.1751115,0.0002451789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003385343,0.0005241396,2.053501e-7,0.0005849705,0.00002692652,0.0004555557,0.9934146,0.00001419985,0.001594103],"genre_scores_gemma":[0.4169254,0.00004843795,0.0006112567,0.002408783,0.0003234604,0.003447899,0.5755071,0.00004981069,0.0006778368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8063562,"threshold_uncertainty_score":0.4692406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04300543800713856,"score_gpt":0.3248850591474404,"score_spread":0.2818796211403019,"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."}}