{"id":"W3163804454","doi":"10.2196/26654","title":"Assessing Suicide Reporting in Top Newspaper Social Media Accounts in China: Content Analysis Study","year":2021,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Mainstream; Social media; Newspaper; China; Medicine; Beijing; Psychology; Advertising; Political science; Business","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":[0.00199439,0.000480329,0.00043869,0.009583008,0.001047877,0.001309687,0.0004820794,0.0003416571,0.00115327],"category_scores_gemma":[0.006479735,0.0002853207,0.0005280345,0.00844802,0.0006643628,0.001164451,0.001336948,0.0002690876,0.0001997444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581112,"about_ca_system_score_gemma":0.001559808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526377,"about_ca_topic_score_gemma":0.01625154,"domain_scores_codex":[0.9980091,0.000419466,0.0004607324,0.0003011904,0.0005965829,0.0002128604],"domain_scores_gemma":[0.9928623,0.002156614,0.002188207,0.0003708479,0.001975486,0.0004465109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003807101,0.00006166667,0.9731998,0.0001848694,0.0000543358,0.0002738845,0.008717469,0.00007233648,0.0006783689,0.00007862833,0.0005527743,0.01608772],"study_design_scores_gemma":[0.000004356066,0.00003365588,0.9887659,0.00003607421,0.00005805773,0.0001579105,0.008549402,0.0008978665,0.0004234708,0.00004242821,0.001015596,0.00001534906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980762,0.00008052306,0.0001683713,0.0000560512,0.000005665,0.00008223969,0.0008735454,0.00001027141,0.0006471053],"genre_scores_gemma":[0.996516,0.0001954926,0.0006628488,0.00004846266,0.00002913254,0.0001862038,0.001830156,0.000006814503,0.0005249282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526377,"threshold_uncertainty_score":0.03034985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.150236781960585,"score_gpt":0.469417982189256,"score_spread":0.319181200228671,"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."}}