{"id":"W2972756888","doi":"","title":"Nuts and Bolts of Evaluating the Athlete with Dyspnea","year":2019,"lang":"en","type":"article","venue":"2019 AAAAI Annual Meeting","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Nuts and bolts; Forensic engineering; Computer science; Engineering; Structural engineering","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":[0.003328694,0.001552534,0.001582483,0.004346158,0.001740642,0.003193542,0.001655918,0.004621573,0.004314092],"category_scores_gemma":[0.01946587,0.0008236349,0.001140376,0.0008076329,0.00254992,0.005267117,0.002289182,0.007096153,0.001761001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013444,"about_ca_system_score_gemma":0.00178104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002955768,"about_ca_topic_score_gemma":0.009617551,"domain_scores_codex":[0.9973745,0.0008182905,0.0004531998,0.000186735,0.0008452546,0.0003220104],"domain_scores_gemma":[0.9951964,0.001387075,0.0003570334,0.0001998271,0.001727671,0.001132063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001364175,0.0009812928,0.335159,0.001321427,0.0004366678,0.1582111,0.001638952,0.001592665,0.009567641,0.004595058,0.09299583,0.3921363],"study_design_scores_gemma":[0.0002718274,0.002789691,0.2585084,0.008733758,0.0009872817,0.5736939,0.01567376,0.009391828,0.005738104,0.02059337,0.1031767,0.0004414121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3342674,0.1441547,0.03484315,0.2747959,0.02872715,0.0009391241,0.0006878096,0.0009783434,0.1806064],"genre_scores_gemma":[0.858604,0.04769293,0.02909465,0.02364622,0.02334097,0.0002457459,0.0003527649,0.0001671567,0.01685548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004621573,"threshold_uncertainty_score":0.01760405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860965308660058,"score_gpt":0.3168803825540347,"score_spread":0.2982707294674341,"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."}}