{"id":"W6962439853","doi":"10.17632/fp8rjzws6j.2","title":"Data for: Correlates of Stalking in Canada: A Model of Social Support and Comorbidity","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Stalking, Cyberstalking, and Harassment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stalking; Social support; Comorbidity; Social isolation; Psychiatric comorbidity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001675682,0.001557781,0.001570262,0.00559378,0.002760496,0.003018957,0.004950162,0.001721788,0.02503518],"category_scores_gemma":[0.0176392,0.001233393,0.002639303,0.01674731,0.0006178251,0.000879711,0.001735573,0.002387693,0.008128934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02243112,"about_ca_system_score_gemma":0.06152097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915485,"about_ca_topic_score_gemma":0.9938985,"domain_scores_codex":[0.998099,0.0001445808,0.0002893161,0.0002951338,0.0006395875,0.0005323226],"domain_scores_gemma":[0.9890217,0.0008160337,0.001063125,0.001006539,0.007050828,0.001041849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001797089,0.00005371979,0.04478953,0.0006592539,0.0002218269,0.00005781872,0.0001342989,0.0007702784,0.00005395443,0.0007979851,0.9479727,0.004309085],"study_design_scores_gemma":[0.001016133,0.0000417949,0.6123502,0.001397099,0.0004344514,0.0001910892,0.0009007266,0.002558823,0.0003598923,0.001124748,0.3794429,0.0001821752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00123451,0.00008884849,0.00004910383,0.0001138771,0.00001433171,0.00004506502,0.9979395,0.00004926707,0.0004654212],"genre_scores_gemma":[0.00813328,0.0002194768,0.0004033392,0.000128955,0.00001289762,0.0003294818,0.9884524,0.00003327106,0.002286811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02503518,"threshold_uncertainty_score":0.1627499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06987900019859308,"score_gpt":0.3208480420865034,"score_spread":0.2509690418879104,"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."}}