{"id":"W4281728197","doi":"10.1027/0227-5910/a000865","title":"Differences in Suicide-Related Twitter Content According to User Influence","year":2022,"lang":"en","type":"article","venue":"Crisis","topic":"Mental Health via Writing","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Institute for Clinical Evaluative Sciences; Athabasca University; Centre for Addiction and Mental Health; Health Sciences Centre; McMaster University; University of Toronto; Regional Municipality of Waterloo; Sunnybrook Health Science Centre","funders":"","keywords":"Social media; Content analysis; Suicidal ideation; Mental health; Suicide prevention; Psychology; Logistic regression; Content (measure theory); Intervention (counseling); Poison control; Medicine; Psychiatry; Medical emergency; World Wide Web; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007861775,0.0001698739,0.0001862125,0.001440852,0.0006345604,0.001380182,0.0002195936,0.0002298424,0.003681425],"category_scores_gemma":[0.01201654,0.0001391359,0.0002360239,0.001177898,0.0004184924,0.000883494,0.001072698,0.0003415617,0.0005735893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005450137,"about_ca_system_score_gemma":0.0004189314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345504,"about_ca_topic_score_gemma":0.02263905,"domain_scores_codex":[0.9990525,0.0002814418,0.0001125066,0.0001311846,0.0002852377,0.0001371283],"domain_scores_gemma":[0.9905977,0.003566012,0.002790397,0.0005438729,0.001673234,0.000828794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001801739,0.0000356722,0.9812062,0.00006167538,0.00006167497,0.00005815539,0.006353809,0.00005032881,0.001100853,0.0001280679,0.0004078603,0.01035544],"study_design_scores_gemma":[0.000001997792,0.00002671782,0.9948769,0.00001795336,0.00001768463,0.00005735402,0.003654877,0.0002997762,0.0003117634,0.00005911062,0.0006689543,0.000006941767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968934,0.00007986037,0.00021172,0.0001050125,0.000009277911,0.00002406801,0.0004463745,0.00001088187,0.002219362],"genre_scores_gemma":[0.9992046,0.00005135411,0.0001041788,0.0000204036,0.000009580171,0.00001277794,0.0002113223,0.000005136696,0.0003807238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01345504,"threshold_uncertainty_score":0.02675343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1249876174644491,"score_gpt":0.3839356830927409,"score_spread":0.2589480656282919,"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."}}