{"id":"W2791494741","doi":"","title":"USING THE MODIFIED DELPHI METHOD TO ESTABLISH CLINICAL CONSENSUS FOR THE DIAGNOSIS AND TREATMENT OF PATIENTS WITH ROTATOR CUFF PATHOLOGY","year":2018,"lang":"en","type":"article","venue":"","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bible College","funders":"","keywords":"Rotator cuff; Medicine; Delphi method; Delphi; Pathology; Intensive care medicine; Medical physics; Surgery; Computer science; Artificial intelligence","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":[0.1582638,0.0009420872,0.001222566,0.008825325,0.002692759,0.002183297,0.002069932,0.001476648,0.006371961],"category_scores_gemma":[0.139816,0.0007128253,0.002011027,0.003902969,0.002655053,0.002745401,0.007381549,0.00195786,0.001723326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00339588,"about_ca_system_score_gemma":0.01179113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002638384,"about_ca_topic_score_gemma":0.00543087,"domain_scores_codex":[0.8020532,0.1554136,0.02052511,0.003081527,0.01588339,0.003043307],"domain_scores_gemma":[0.8660627,0.06569193,0.007791813,0.006489479,0.05191226,0.002051738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001715881,0.001296105,0.0584475,0.01117639,0.001198739,0.000770891,0.1413202,0.003117824,0.009609162,0.02334707,0.04403677,0.7039634],"study_design_scores_gemma":[0.002588829,0.007074574,0.239373,0.01608768,0.001386602,0.004639286,0.3135197,0.03971165,0.01913592,0.1288929,0.2255499,0.002039956],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4623071,0.00279753,0.2900963,0.01335494,0.001859091,0.1149758,0.002205265,0.0007426779,0.1116613],"genre_scores_gemma":[0.5083466,0.001577992,0.4091045,0.002236565,0.000210336,0.07223807,0.0009695045,0.000110469,0.005206022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1582638,"threshold_uncertainty_score":0.8369892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4919676448519158,"score_gpt":0.56976789733471,"score_spread":0.07780025248279421,"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."}}