{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01534512,0.0007459504,0.0008184556,0.006591954,0.003748879,0.004054118,0.001071745,0.001187764,0.003101899],"category_scores_gemma":[0.03463111,0.0003745304,0.0003216039,0.004038877,0.003865171,0.003213544,0.004420812,0.001367412,0.0004452874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293362,"about_ca_system_score_gemma":0.001751623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693387,"about_ca_topic_score_gemma":0.001802746,"domain_scores_codex":[0.9853453,0.01063998,0.0007621571,0.0007803963,0.00181146,0.0006605916],"domain_scores_gemma":[0.944645,0.04836587,0.002455592,0.0007242922,0.002993588,0.0008156611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001454172,0.00006596695,0.005640209,0.000283407,0.00001308397,0.000300356,0.9719161,0.00007303485,0.005803373,0.0009986785,0.0003598094,0.01440056],"study_design_scores_gemma":[0.00002802406,0.0002006746,0.0206687,0.0003353498,0.00002813058,0.0005634761,0.959973,0.001114666,0.004035307,0.001613944,0.01136381,0.00007492385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866976,0.0004331523,0.005877187,0.0006094315,0.00003785709,0.000243562,0.000361916,0.00004170853,0.005697607],"genre_scores_gemma":[0.9920716,0.0003213606,0.004846959,0.0001388864,0.00003761017,0.0004211674,0.0002482999,0.00003700113,0.001877128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01534512,"threshold_uncertainty_score":0.08115369,"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."}}