{"id":"W4389326263","doi":"10.2196/46195","title":"Evaluation of the Effectiveness of Suicide.ca, Quebec’s Digital Suicide Prevention Strategy Platform: Cross-Sectional Descriptive Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; Université du Québec à Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Intervention (counseling); Analytics; Descriptive statistics; Social media; The Internet; Population; Medicine; Triage; Service (business); Suicide prevention; Government (linguistics); Poison control; Psychology; Medical emergency; Nursing; Environmental health; World Wide Web; Business; Computer science; Data science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002924018,0.0003153527,0.0003905912,0.002283234,0.002230145,0.001519138,0.001332191,0.0006330277,0.002730206],"category_scores_gemma":[0.007877624,0.0003907262,0.000599571,0.002795751,0.0007680287,0.0009307332,0.0008730249,0.0009890741,0.0003625541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01705563,"about_ca_system_score_gemma":0.01608898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.866504,"about_ca_topic_score_gemma":0.9211873,"domain_scores_codex":[0.9982008,0.0003073783,0.0002036776,0.0002001591,0.0008073024,0.0002806527],"domain_scores_gemma":[0.9863167,0.002135705,0.003480658,0.0003792277,0.005987027,0.00170061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006896875,0.0002710871,0.9923908,0.00007143655,0.00005737412,0.00004229103,0.001325594,0.00004362475,0.0000726081,0.00003531981,0.001163352,0.004457512],"study_design_scores_gemma":[0.00001249439,0.0001993815,0.9950123,0.00005064172,0.0000274621,0.000040631,0.003452942,0.000211556,0.00006308791,0.000006888998,0.0009091236,0.00001333592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907972,0.000355763,0.0001455998,0.0002297761,0.00001357514,0.00068613,0.005231755,0.00001971524,0.002520511],"genre_scores_gemma":[0.9950472,0.0003006576,0.0004194481,0.0003093058,0.0000130331,0.0004931903,0.002281382,0.000009912304,0.001125768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.133496,"threshold_uncertainty_score":0.2685643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2551328851872987,"score_gpt":0.5096263940746869,"score_spread":0.2544935088873882,"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."}}