{"id":"W2336542037","doi":"10.36834/cmej.36646","title":"Bedside ultrasound education in Canadian medical schools: A national survey","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medical education; Medicine; Family medicine; Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005218268,0.0002377288,0.0003594765,0.001160901,0.0002936745,0.00009727918,0.0005785052,0.000738333,0.1117449],"category_scores_gemma":[0.2471986,0.0001864101,0.0001218191,0.0008631512,0.0003073184,0.0002737581,0.00001415412,0.00171711,0.001336051],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004603632,"about_ca_system_score_gemma":0.6127424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6664209,"about_ca_topic_score_gemma":0.9776452,"domain_scores_codex":[0.9949604,0.0003425823,0.0010963,0.0004502295,0.002229695,0.000920776],"domain_scores_gemma":[0.9547058,0.001580929,0.0002189701,0.0004490523,0.00205358,0.04099164],"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":[0.00002060832,0.0004384874,0.4272338,0.00001177332,0.00004219819,0.00003109881,0.00008749238,2.252802e-7,0.00002513936,0.003734087,0.4847461,0.08362901],"study_design_scores_gemma":[0.0008703215,0.00004912779,0.577872,0.0006020307,0.00001696767,0.002838227,0.000224658,0.00001254698,0.000005850318,0.00323302,0.414056,0.0002191683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4866066,0.0007976752,0.0001481368,0.4673671,0.004031498,0.0008432381,0.0001752428,0.00004744986,0.03998306],"genre_scores_gemma":[0.8963091,0.0005048507,0.0007569563,0.09611738,0.002573409,0.0001070283,0.0001975167,0.00004427055,0.003389468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6081388,"threshold_uncertainty_score":0.9994415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049590672811681,"score_gpt":0.379351226408554,"score_spread":0.3488553196804371,"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."}}