{"id":"W2111101785","doi":"10.22230/cjc.2007v32n3a1959","title":"Asymmetrical Talk between Physicians and Patients: A Quantitative Discourse Analysis","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Grand River Hospital; University of Northern British Columbia","funders":"University of Northern British Columbia","keywords":"Interview; Patient satisfaction; Family medicine; Discourse analysis; Psychology; Medicine; Social psychology; Nursing; Sociology; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001201654,0.0001365323,0.0004305303,0.001317606,0.001096982,0.00002261037,0.0007341258,0.0001636715,0.00004375356],"category_scores_gemma":[0.001403654,0.0001336868,0.0001245193,0.001600722,0.000276078,0.0003861821,0.00008637347,0.001063295,0.00001375264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005920528,"about_ca_system_score_gemma":0.0008323636,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01551319,"about_ca_topic_score_gemma":0.1006224,"domain_scores_codex":[0.9967905,0.00120486,0.001163881,0.0001261356,0.0002789622,0.0004357102],"domain_scores_gemma":[0.9933823,0.002407771,0.001282439,0.0008768687,0.001412917,0.0006377561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002756957,0.00003259961,0.9649414,0.00002229426,0.0002521832,0.000001923315,0.01810483,0.00001411798,0.000002515995,0.003922689,0.0007141499,0.01196367],"study_design_scores_gemma":[0.0006959638,0.0001706794,0.961911,0.0002095935,0.0003402783,8.158174e-7,0.02655127,0.0001032266,0.000005257727,0.001023257,0.008840472,0.0001481387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777515,0.006011341,0.005485283,0.006443218,0.0002234847,0.0005502091,0.0001033305,0.00001644595,0.003415164],"genre_scores_gemma":[0.9942774,0.0001491649,0.004764444,0.0005580028,0.00006452413,0.000008844041,0.0001125688,0.00001941332,0.00004561812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08510922,"threshold_uncertainty_score":0.9910426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1469520426000419,"score_gpt":0.441295798503822,"score_spread":0.2943437559037801,"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."}}