{"id":"W4308581269","doi":"10.5334/ijic.icic22242","title":"Advancing Integrated Care through Embedded Research: Early Lessons from Two Canadian Training Programs","year":2022,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research; University of Toronto; Ontario College of Art and Design","funders":"","keywords":"Library science; Field (mathematics); Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04068856,0.000932516,0.0008237518,0.001786739,0.02822593,0.01113624,0.005134416,0.003754566,0.004852027],"category_scores_gemma":[0.03582898,0.0007931515,0.0006787763,0.003528954,0.01087748,0.004998541,0.01593729,0.008122853,0.0005965454],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1050084,"about_ca_system_score_gemma":0.3953576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8802886,"about_ca_topic_score_gemma":0.9783254,"domain_scores_codex":[0.9737858,0.01044771,0.0005572988,0.00107109,0.005844021,0.008294032],"domain_scores_gemma":[0.9276671,0.01328629,0.001277023,0.002109708,0.01597396,0.03968579],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008631285,0.004798038,0.02489984,0.001243807,0.0001138182,0.002647298,0.4354609,0.0005242354,0.001359595,0.04372215,0.07620246,0.4081647],"study_design_scores_gemma":[0.0006269788,0.002000366,0.06955656,0.005030741,0.0002010384,0.0008049086,0.451399,0.0009531816,0.001533391,0.01707738,0.4504277,0.0003887209],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4919337,0.01586901,0.006513958,0.3423783,0.003636248,0.002264312,0.000487798,0.0002795749,0.1366371],"genre_scores_gemma":[0.8935513,0.01207371,0.02626784,0.02544066,0.0002816102,0.0008987649,0.0003772849,0.0002480321,0.04086072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9593114,"threshold_uncertainty_score":0.7618929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157009534279011,"score_gpt":0.5049636748015897,"score_spread":0.3892627213736886,"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."}}