{"id":"W6931854994","doi":"10.5683/sp3/hf7gsf","title":"General Social Survey, Cycle 28, 2014 [Canada]: Victimization, Incident File","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Data collection; General Social Survey; Data file; Survey data collection; Criminal justice","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":[0.001697572,0.001396183,0.001485417,0.006523652,0.003831089,0.002798217,0.003424235,0.0009866022,0.04769145],"category_scores_gemma":[0.0139534,0.00114355,0.001078655,0.01943703,0.0005359467,0.001260585,0.001618182,0.001606663,0.01749927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03110491,"about_ca_system_score_gemma":0.07413512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9814122,"about_ca_topic_score_gemma":0.9849069,"domain_scores_codex":[0.9974046,0.0001661295,0.0003848255,0.0003601886,0.001113134,0.0005710533],"domain_scores_gemma":[0.9850881,0.0004539999,0.0008494357,0.0005861316,0.01210035,0.000922034],"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":[0.00005394345,0.00002897536,0.007599233,0.0002949002,0.00002209681,0.00001790098,0.00007344464,0.0001324498,0.00002355233,0.0002908309,0.9888167,0.00264588],"study_design_scores_gemma":[0.000390389,0.00003458756,0.2618475,0.0008365138,0.00007518865,0.00007299749,0.001248883,0.0006254077,0.0002967319,0.0005394674,0.7339343,0.00009802943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003865712,0.00002677605,0.00003407679,0.00007315757,0.00001446047,0.0001187597,0.9981231,0.00004439547,0.001178699],"genre_scores_gemma":[0.002319123,0.0001315013,0.0003681452,0.0001047561,0.00001281312,0.000714049,0.9932162,0.00004676695,0.00308666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04769145,"threshold_uncertainty_score":0.225683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007115162431801437,"score_gpt":0.2143700826747126,"score_spread":0.2072549202429112,"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."}}