{"id":"W1502707615","doi":"10.22230/jripe.2014v3n3a112","title":"Using Loose Coupling Theory to Understand Interprofessional Collaborative Practice on a Transplantation Team","year":2014,"lang":"en","type":"article","venue":"Journal of Research in Interprofessional Practice and Education","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo; Western University","funders":"","keywords":"Autonomy; Negotiation; Construct (python library); Knowledge management; Psychology; Medicine; Nursing; Sociology; Computer science; Political 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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01712252,0.0002534139,0.0003974883,0.001635274,0.001110414,0.00008541929,0.0003305561,0.0003216771,0.0002107217],"category_scores_gemma":[0.01433199,0.0001998634,0.00006076857,0.001470503,0.0001553331,0.001996661,0.0001241671,0.003038769,0.0001050511],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129346,"about_ca_system_score_gemma":0.01139206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000144542,"about_ca_topic_score_gemma":0.00008204471,"domain_scores_codex":[0.9896171,0.006590825,0.001343004,0.000415016,0.001484349,0.0005497175],"domain_scores_gemma":[0.9743242,0.01872639,0.001095764,0.0002704111,0.005164817,0.0004184338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.1915004,0.008935357,0.009411125,0.001733777,0.0004127993,0.00007795948,0.261669,0.001950356,0.02031821,0.3351994,0.08677662,0.08201496],"study_design_scores_gemma":[0.002932331,0.002268366,0.003980796,0.02255361,0.0001260392,0.0002010726,0.8618604,0.002729299,0.0004123911,0.0522742,0.05014496,0.0005165726],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8927516,0.0008507025,0.01207741,0.06145645,0.009743965,0.001908667,0.00001752444,0.00002544896,0.02116824],"genre_scores_gemma":[0.9735489,0.0003632362,0.01535357,0.007464846,0.001352281,0.0001003166,0.00002058805,0.00004284679,0.001753428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6001914,"threshold_uncertainty_score":0.9992613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149994814900055,"score_gpt":0.5870136030821606,"score_spread":0.4720141215921551,"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."}}