{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00160329,0.0003216171,0.0008132016,0.0001333372,0.0004017807,0.00007133151,0.002445586,0.0001821222,0.00001896514],"category_scores_gemma":[0.00004561615,0.0003260827,0.00003880209,0.0001746204,0.0003179953,0.0003697378,0.002255719,0.0003713674,3.351063e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377257,"about_ca_system_score_gemma":0.001648328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.876313,"about_ca_topic_score_gemma":0.993611,"domain_scores_codex":[0.9971783,0.0002108659,0.0006573955,0.0008182973,0.0005631972,0.0005719343],"domain_scores_gemma":[0.997122,0.0006661108,0.0007481258,0.001291502,0.00004706014,0.0001251788],"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":[0.0002470327,0.0001585326,0.025816,0.003345915,0.0003792614,0.00001320122,0.01827902,0.000836855,0.00001928451,0.000360728,0.9459469,0.004597327],"study_design_scores_gemma":[0.001159604,0.00009014718,0.01191451,0.001093405,0.0005196375,0.000003104549,0.01417151,0.223629,9.925226e-7,0.0004827714,0.746079,0.0008563371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03509627,0.0003199566,0.0001161867,0.00004187947,0.0003336193,0.0004880115,0.9633447,0.000009235226,0.0002501471],"genre_scores_gemma":[0.1326369,0.001796704,0.000218944,0.0000652384,0.0001851743,0.000007966111,0.8650285,0.00002214837,0.00003843707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2227922,"threshold_uncertainty_score":0.9999191,"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."}}