{"id":"W1537651897","doi":"10.1111/j.1740-8261.2012.01967.x","title":"EFFECTS OF OBSERVER ON THE DIAGNOSTIC ACCURACY OF LOW‐FIELD <scp>MRI</scp> FOR DETECTING CANINE MENISCAL TEARS","year":2012,"lang":"en","type":"article","venue":"Veterinary Radiology & Ultrasound","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Tears; Arthroscopy; Intraclass correlation; Magnetic resonance imaging; Diagnostic accuracy; Radiology; Nuclear medicine; Surgery","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":[0.04935368,0.0005442991,0.0006250234,0.001148515,0.0006207178,0.001160735,0.0005883925,0.0007207419,0.0008300645],"category_scores_gemma":[0.1520542,0.0006087723,0.0008695555,0.0005012459,0.001552321,0.001025928,0.001357897,0.0005382329,0.0003388011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005940681,"about_ca_system_score_gemma":0.0003311457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001643285,"about_ca_topic_score_gemma":0.002355028,"domain_scores_codex":[0.9333066,0.04148914,0.00834709,0.005756991,0.01008169,0.0010185],"domain_scores_gemma":[0.5955825,0.3446326,0.02585195,0.01437049,0.01797769,0.00158479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0107916,0.0002459433,0.8900279,0.0005407063,0.001714701,0.0004884655,0.006445304,0.002530511,0.01965672,0.0003312253,0.0006308759,0.06659604],"study_design_scores_gemma":[0.0001520642,0.00405246,0.9650176,0.0001794752,0.0009557819,0.001583641,0.001385669,0.01264632,0.01146245,0.0006334448,0.00179717,0.0001340226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719824,0.002035017,0.02178379,0.0001375736,0.0001523727,0.0001774691,0.000109652,0.0001256069,0.003496102],"genre_scores_gemma":[0.993879,0.0001320824,0.005472655,0.00006116637,0.00003760779,0.00006416743,0.00008296585,0.00004334521,0.0002269492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04935368,"threshold_uncertainty_score":0.2610103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045242142360198,"score_gpt":0.3024312167997764,"score_spread":0.2619787953761744,"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."}}