{"id":"W3091928335","doi":"10.2147/jmdh.s266853","title":"<p>Describing a Clinical Group Coding Method for Identifying Competencies in an Allied Health Single Session</p>","year":2020,"lang":"en","type":"article","venue":"Journal of Multidisciplinary Healthcare","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Coding (social sciences); Computer science; Medicine; Medical education; Psychology; Statistics; Mathematics; World Wide Web","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":[0.02356893,0.0008592645,0.0003686104,0.003632207,0.002805523,0.001868605,0.001866848,0.0009815936,0.01276483],"category_scores_gemma":[0.05147723,0.0004296004,0.0005773754,0.003933989,0.003081087,0.001683788,0.004049183,0.001450346,0.0036675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004058449,"about_ca_system_score_gemma":0.01023284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008124578,"about_ca_topic_score_gemma":0.01703538,"domain_scores_codex":[0.9738461,0.01859073,0.002433922,0.001472113,0.003119457,0.0005375757],"domain_scores_gemma":[0.9662887,0.01371448,0.002652364,0.003392697,0.01316791,0.0007838344],"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":[0.0002893002,0.0004181246,0.008505734,0.002052311,0.0000239043,0.001356824,0.1625899,0.002461447,0.0258797,0.06609958,0.08057524,0.649748],"study_design_scores_gemma":[0.0003197916,0.0009795026,0.02636055,0.004370723,0.00006615133,0.001844909,0.1577411,0.05888357,0.03538315,0.06956526,0.6440295,0.0004558102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04799118,0.0001938659,0.8678892,0.003255043,0.0009194012,0.04326008,0.002031505,0.0012562,0.03320347],"genre_scores_gemma":[0.06626943,0.0001497982,0.8829553,0.0003809482,0.00005278866,0.04069677,0.0006656557,0.0002829981,0.008546439],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02356893,"threshold_uncertainty_score":0.1246459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3253308803786038,"score_gpt":0.5458019210835731,"score_spread":0.2204710407049693,"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."}}