{"id":"W128927543","doi":"","title":"Influence of MRI field strength on clinical decision making in knee cartilage injury - A case study.","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Culex Environmental","funders":"","keywords":"Meniscus; Medicine; Arthroscopy; Knee pain; Scanner; Magnetic resonance imaging; Clinical history; Radiology; Nuclear medicine; Physics; Surgery; Osteoarthritis; Computer science; Artificial intelligence; Pathology","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":[0.00191152,0.0004862227,0.0003335207,0.001274877,0.000991522,0.001164536,0.0005718681,0.001876819,0.002530668],"category_scores_gemma":[0.02288614,0.0003368531,0.000350547,0.0006884289,0.001170566,0.001229828,0.0006163298,0.0009269388,0.0005673327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008621854,"about_ca_system_score_gemma":0.000638444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850861,"about_ca_topic_score_gemma":0.001927178,"domain_scores_codex":[0.9986083,0.0006224437,0.0002052441,0.0001298326,0.0002333721,0.0002009402],"domain_scores_gemma":[0.9874263,0.007522832,0.003056763,0.0004582137,0.0007687673,0.0007670712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0004720799,0.00054269,0.4490578,0.000127131,0.00004078998,0.5301663,0.001303688,0.0002310526,0.001257276,0.0002786386,0.0007452533,0.01577725],"study_design_scores_gemma":[0.00003917656,0.0006512406,0.122287,0.0001221388,0.00007208902,0.8715706,0.001547289,0.001219417,0.0007736204,0.000486642,0.001184603,0.00004615678],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927718,0.002130803,0.000464233,0.001003668,0.0000365522,0.00004500176,0.00002094921,0.00001184834,0.003515007],"genre_scores_gemma":[0.9989766,0.0003270508,0.0003096469,0.0001266296,0.00008888741,0.000007590696,0.000008752531,0.000004077618,0.0001507686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002530668,"threshold_uncertainty_score":0.01010919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064347206877225,"score_gpt":0.3433259868720379,"score_spread":0.3226825148032656,"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."}}