{"id":"W2138434743","doi":"10.1177/1049732309338282","title":"Communication Channels in General Internal Medicine: A Description of Baseline Patterns for Improved Interprofessional Collaboration","year":2009,"lang":"en","type":"article","venue":"Qualitative Health Research","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Michener Institute; University of Toronto","funders":"","keywords":"Asynchronous communication; Specialty; Health care; Categorization; Health communication; Diversity (politics); Baseline (sea); Population; Medical education; Psychology; Nursing; Medicine; Family medicine; Computer science; Sociology; Communication","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02152347,0.0001798912,0.0004945511,0.0008967157,0.0008049365,0.00001514197,0.0003420173,0.000224118,0.0003625414],"category_scores_gemma":[0.003985195,0.00015244,0.00004844987,0.001238663,0.0001656751,0.0003874231,0.00007407763,0.001153797,0.00001992365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155267,"about_ca_system_score_gemma":0.003962862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003591803,"about_ca_topic_score_gemma":0.003868562,"domain_scores_codex":[0.9834076,0.01315248,0.001747989,0.000387128,0.0006335528,0.0006712386],"domain_scores_gemma":[0.9907523,0.004109549,0.000700437,0.0003793919,0.003851977,0.0002063613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.008740096,0.001250669,0.003343932,0.001407778,0.00003668493,5.309587e-7,0.6529089,0.00002907092,0.01505529,0.1627296,0.1326546,0.02184286],"study_design_scores_gemma":[0.0078615,0.004749131,0.03983185,0.009578419,0.000009183202,9.917469e-7,0.7656538,0.03595167,0.0004480007,0.1236696,0.01181063,0.0004352258],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6550702,0.000726839,0.05663115,0.2757169,0.002534329,0.007305955,0.0003286403,0.00006305936,0.001622846],"genre_scores_gemma":[0.9809139,0.0001852491,0.005582931,0.004818745,0.0004529133,0.001192604,0.0009222857,0.0000232671,0.00590807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3258437,"threshold_uncertainty_score":0.7459648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3398871286332562,"score_gpt":0.6554491301412149,"score_spread":0.3155620015079587,"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."}}