{"id":"W2891744337","doi":"10.1186/s12909-018-1326-8","title":"Point of care ultrasound training for internal medicine: a Canadian multi-centre learner needs assessment study","year":2018,"lang":"en","type":"article","venue":"BMC Medical Education","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Ottawa; University of British Columbia; University of Alberta; University of Calgary","funders":"University of Ottawa","keywords":"Medicine; Point of care ultrasound; Curriculum; Likert scale; Internal medicine; Medical education; Scale (ratio); Family medicine; Radiology; Ultrasound; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[],"category_scores_codex":[0.0009371352,0.0001707455,0.0004152381,0.0002575247,0.000132931,0.00001240235,0.0002472333,0.0001787565,0.00267528],"category_scores_gemma":[0.01182569,0.0001362928,0.0001073775,0.000364256,0.0004210506,0.00005344039,0.0000200414,0.0003187849,0.00002772057],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685476,"about_ca_system_score_gemma":0.009085109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02044057,"about_ca_topic_score_gemma":0.1083821,"domain_scores_codex":[0.9978579,0.0001063368,0.0007413749,0.0003444346,0.000624213,0.0003257808],"domain_scores_gemma":[0.9960973,0.001505262,0.0001943363,0.0004419357,0.0007942172,0.0009669521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002653185,0.004880772,0.8290152,0.0005807531,0.0002627101,0.000001619325,0.07882004,0.000001307957,0.0006774248,0.004581405,0.03028055,0.05063288],"study_design_scores_gemma":[0.008683689,0.00356126,0.5986814,0.001335495,0.0006511601,0.00007981843,0.3420169,0.0009322142,0.0001231069,0.0004907476,0.04306497,0.0003792152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962237,0.0001392776,0.01758057,0.007870797,0.001516286,0.002650215,0.0000272332,0.00006104444,0.007917587],"genre_scores_gemma":[0.9769368,0.00001321853,0.01778382,0.001907062,0.001553638,0.0002469701,0.0002292682,0.00003098475,0.001298223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2631969,"threshold_uncertainty_score":0.9982364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07327709007817972,"score_gpt":0.441418234562735,"score_spread":0.3681411444845553,"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."}}