{"id":"W3048028467","doi":"10.2196/18896","title":"Mobile Breast Cancer e-Support Program for Chinese Women With Breast Cancer Undergoing Chemotherapy (Part 3): Secondary Data Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Login; Psychological intervention; Breast cancer; Medicine; Intervention (counseling); Population; Cancer; Family medicine; Computer science; Nursing; Internal medicine; Computer security","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":[0.004367596,0.0008550533,0.001826701,0.002797415,0.001280396,0.0006145695,0.0009121678,0.0006985542,0.009746412],"category_scores_gemma":[0.009085711,0.0005271804,0.003694395,0.003479864,0.000425056,0.000554712,0.001090716,0.0008231331,0.001182213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002199861,"about_ca_system_score_gemma":0.007845742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01977764,"about_ca_topic_score_gemma":0.02009074,"domain_scores_codex":[0.9968628,0.000888899,0.000683711,0.0004682369,0.0006545897,0.0004418797],"domain_scores_gemma":[0.9958237,0.0009025063,0.0009298367,0.0004303732,0.001557867,0.0003556383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01634496,0.01446909,0.705057,0.02150359,0.004484765,0.001150039,0.005796858,0.001000996,0.002848558,0.0008531436,0.03124772,0.1952433],"study_design_scores_gemma":[0.003232837,0.007784583,0.971342,0.001113447,0.002704685,0.0001847311,0.001740716,0.0009838359,0.001138942,0.0002828785,0.009405545,0.0000857844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8689998,0.001583953,0.002847368,0.0005092647,0.00008921084,0.07168588,0.04963119,0.0001501988,0.00450312],"genre_scores_gemma":[0.7621579,0.001021123,0.007657051,0.001170217,0.0001041707,0.1861143,0.03743581,0.00004536907,0.004294094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01977764,"threshold_uncertainty_score":0.039325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05985774800477719,"score_gpt":0.4598879829541015,"score_spread":0.4000302349493243,"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."}}