{"id":"W2944781214","doi":"","title":"LibGuides: Criminology: Legal Citation Basics (McGill Guide)","year":2017,"lang":"en","type":"libguides","venue":"","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Criminology; Library science; Sociology; Internet privacy; Political science; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003314301,0.001893893,0.001376762,0.02506093,0.003323243,0.008425768,0.00318446,0.003106693,0.501682],"category_scores_gemma":[0.02454935,0.00197135,0.0008585447,0.02654717,0.001700191,0.009170545,0.0042636,0.003490572,0.3352823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003115217,"about_ca_system_score_gemma":0.01222066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04428744,"about_ca_topic_score_gemma":0.1348449,"domain_scores_codex":[0.9973443,0.0006415612,0.0002947473,0.0001618792,0.001328725,0.0002288052],"domain_scores_gemma":[0.9811091,0.005235466,0.001207134,0.001953979,0.009117515,0.00137681],"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":[0.000003389569,0.000007645632,0.00009795102,0.0001029873,0.000001370721,0.000005622555,0.00004339819,0.00002784574,0.00001087758,0.002283243,0.9657584,0.0316573],"study_design_scores_gemma":[0.000005839347,0.000006457807,0.0007142336,0.0007326324,0.000005913231,0.00006665041,0.0001443483,0.000164184,0.0001216467,0.007978211,0.9900406,0.00001931591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008164999,0.01722815,0.01117196,0.01576012,0.004946073,0.0006453052,0.09728001,0.0225953,0.8295566],"genre_scores_gemma":[0.00772755,0.02128911,0.01800516,0.004716122,0.003593411,0.001714812,0.04996639,0.01101198,0.8819755],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.501682,"threshold_uncertainty_score":0.7107902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07873009266024532,"score_gpt":0.3085690590573902,"score_spread":0.2298389663971449,"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."}}