{"id":"W1507432354","doi":"10.1111/cob.12000","title":"Qualitative content analysis of online news media coverage of weight loss surgery and related reader comments","year":2012,"lang":"en","type":"article","venue":"Clinical Obesity","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Framing (construction); Medicine; Content analysis; Tone (literature); Social media; Media coverage; Mass media; Perspective (graphical); Social psychology; Media studies; Psychology; Advertising; Linguistics; Sociology; Social science; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00939049,0.0001615269,0.001543621,0.0002067383,0.0002530399,0.000002066626,0.0001354351,0.0005110725,0.001207959],"category_scores_gemma":[0.007489247,0.0001318908,0.0003251568,0.0005705397,0.0003855868,0.0003301703,0.0001815886,0.001052807,0.00007866097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005041659,"about_ca_system_score_gemma":0.0002156203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001327085,"about_ca_topic_score_gemma":0.001555839,"domain_scores_codex":[0.9903962,0.005900992,0.002637151,0.000271246,0.0003303647,0.0004640484],"domain_scores_gemma":[0.9542755,0.04250525,0.002027182,0.0004043043,0.0003602235,0.000427485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002896965,0.002007944,0.9782955,0.0004033911,0.0008584469,0.000002434743,0.01343819,2.767452e-7,0.000003940578,0.0007670859,0.002862281,0.001070818],"study_design_scores_gemma":[0.0009496447,0.00007149593,0.9860344,0.000221155,0.001050638,2.549304e-7,0.007036113,0.0000256624,0.000006273698,0.0003275416,0.00415842,0.0001184165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928893,0.0008605456,0.00009211915,0.003688234,0.001012177,0.0003690493,0.0003255664,0.00002349521,0.0007394599],"genre_scores_gemma":[0.9916998,0.005165467,0.000360402,0.001955946,0.0001758421,0.00000679613,0.0002074777,0.00001201104,0.0004162191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03660425,"threshold_uncertainty_score":0.9997051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.452726761691097,"score_gpt":0.583509721095031,"score_spread":0.1307829594039339,"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."}}