{"id":"W2131453475","doi":"10.25011/cim.v31i1.3140","title":"Multidisciplinarity, interdisciplinarity, and transdisciplinarity in health research, services, education and policy: 3. Discipline, inter-discipline distance, and selection of discipline","year":2008,"lang":"en","type":"review","venue":"Clinical and investigative medicine","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Public Health Agency of Canada","funders":"","keywords":"Discipline; Transdisciplinarity; Teamwork; Engineering ethics; Sociology; Multidisciplinary approach; Selection (genetic algorithm); Knowledge management; Management science; Epistemology; Data science; Computer science; Social science; Political science; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.05115192,0.0005644266,0.001329441,0.00904039,0.004734996,0.02052713,0.002377137,0.005800563,0.003010402],"category_scores_gemma":[0.04744215,0.0006891316,0.001397141,0.0156362,0.03004006,0.02359567,0.0129848,0.004042982,0.0003411329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01368045,"about_ca_system_score_gemma":0.02815245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009925035,"about_ca_topic_score_gemma":0.01065144,"domain_scores_codex":[0.944032,0.04213973,0.003068429,0.002193968,0.006574193,0.001991687],"domain_scores_gemma":[0.9145427,0.06258677,0.01227549,0.00243921,0.005132309,0.003023591],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009880934,0.0001327249,0.02979977,0.01013782,0.0002617444,0.0003447989,0.06153085,0.001526083,0.0002594159,0.6882937,0.007955266,0.199659],"study_design_scores_gemma":[0.00008855806,0.000179246,0.02576332,0.03159674,0.0002380969,0.0005910457,0.08162552,0.002186212,0.0005188106,0.7551506,0.1019273,0.0001345635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04628498,0.6327391,0.03135997,0.2274783,0.002043366,0.0004181824,0.0001029019,0.0000875851,0.05948559],"genre_scores_gemma":[0.772031,0.1813863,0.028634,0.01339006,0.001458467,0.0008611933,0.00007850731,0.00004737123,0.002113048],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9488481,"threshold_uncertainty_score":0.2705204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4700063315005071,"score_gpt":0.5796374763682748,"score_spread":0.1096311448677676,"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."}}