{"id":"W2908082109","doi":"10.2196/cancer.9887","title":"Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rijksinstituut voor Volksgezondheid en Milieu; Radboud Universiteit","keywords":"Empowerment; Online community; Data science; Cancer; Computer science; Psychology; Sociology; Medicine; World Wide Web; Political science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003371786,0.0004534646,0.0005951736,0.00940208,0.001025982,0.001623197,0.0006879102,0.0008012715,0.0009263734],"category_scores_gemma":[0.01050263,0.0001796376,0.0006701548,0.006844095,0.0005606763,0.001606737,0.001226431,0.000648771,0.0002947778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006623583,"about_ca_system_score_gemma":0.0008565345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074946,"about_ca_topic_score_gemma":0.00266058,"domain_scores_codex":[0.9976038,0.0009500006,0.0003777191,0.0004544641,0.0004570724,0.0001569801],"domain_scores_gemma":[0.9821812,0.01297521,0.002918598,0.0004297738,0.001100793,0.0003943852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007328362,0.001843171,0.613973,0.002044783,0.0003041887,0.002172365,0.05069337,0.003213166,0.01602028,0.001755725,0.00325939,0.3039878],"study_design_scores_gemma":[0.0001216729,0.0008176982,0.7848403,0.0008131385,0.0004276511,0.002651888,0.08574593,0.08790104,0.01101206,0.008982342,0.0165151,0.0001712541],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794327,0.0003364875,0.01459023,0.0003894128,0.00001760647,0.0007013731,0.003281057,0.0001261967,0.001124928],"genre_scores_gemma":[0.9495834,0.0002596854,0.04445051,0.00008077367,0.00005010752,0.001036815,0.003877543,0.00002050682,0.0006407551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00940208,"threshold_uncertainty_score":0.01783192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123901343937051,"score_gpt":0.4896824856286282,"score_spread":0.377292351234923,"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."}}