{"id":"W4310102520","doi":"10.29173/iasl8540","title":"Creating an Interprofessional Education Experience for Pre-service Education and PK-12 Schools","year":2022,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interprofessional education; Medical education; Service (business); Social work; Work (physics); Focus group; Human services; Medicine; Sociology; Pedagogy; Health care; Political science; Engineering; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01125805,0.0007249449,0.0006787356,0.0015215,0.02864524,0.01400519,0.002368676,0.004450114,0.01891912],"category_scores_gemma":[0.008011857,0.001071097,0.00125916,0.001036849,0.007408254,0.01026046,0.03329,0.01015522,0.004027877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003438575,"about_ca_system_score_gemma":0.01161786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304228,"about_ca_topic_score_gemma":0.009146275,"domain_scores_codex":[0.9880386,0.006643043,0.0003147007,0.0004881911,0.0008828894,0.003632496],"domain_scores_gemma":[0.9801618,0.002177684,0.0005827135,0.0006760912,0.0008082317,0.01559355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001764129,0.004606158,0.01773232,0.0005619686,0.00002843355,0.00746413,0.7856171,0.0004338732,0.002652155,0.01008449,0.04253807,0.1281049],"study_design_scores_gemma":[0.00008136649,0.00122522,0.009334169,0.0006444742,0.00002429218,0.004559594,0.7469858,0.0003429969,0.001170843,0.004546799,0.2309441,0.000140318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8453476,0.001583632,0.01972262,0.03049044,0.00177048,0.0009617014,0.0001606711,0.0008917352,0.099071],"genre_scores_gemma":[0.9458373,0.001028125,0.02443838,0.003992144,0.000246036,0.0005001121,0.0001160918,0.0001635373,0.02367832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02864524,"threshold_uncertainty_score":0.06329072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03872012732466144,"score_gpt":0.44564621721009,"score_spread":0.4069260898854286,"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."}}