{"id":"W7006682011","doi":"","title":"Why they kill : criminal etiologies in Mary Shelley's Frankenstein, R.L. Stevenson's Strange case of Dr Jekyll and Mr Hyde, and Oscar Wilde's The picture of Dorian Gray","year":2012,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gray (unit); Time line; Biography; Portrait","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002240734,0.0004627218,0.0004193858,0.001755984,0.01728766,0.004957287,0.001295542,0.008246999,0.006746936],"category_scores_gemma":[0.00839687,0.0004140026,0.0003453467,0.00158088,0.01511826,0.004455701,0.005281482,0.0119123,0.0007283061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004671832,"about_ca_system_score_gemma":0.006529963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09007937,"about_ca_topic_score_gemma":0.2439813,"domain_scores_codex":[0.9984546,0.0005190008,0.00005757531,0.0001156212,0.0002193298,0.0006337735],"domain_scores_gemma":[0.997703,0.0008973072,0.0003406881,0.0001035839,0.0003319709,0.0006234929],"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":[0.00002696954,0.00007326923,0.01068989,0.0000636854,0.00001849362,0.009843845,0.1005283,0.0001101648,0.00007172459,0.4250189,0.429267,0.02428772],"study_design_scores_gemma":[0.00003991396,0.00002801853,0.02093962,0.001995607,0.00005020949,0.01630743,0.3342859,0.0003069582,0.0002862016,0.1791422,0.4465125,0.0001054534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.08319207,0.01641814,0.0008123472,0.6303318,0.002845045,0.00004719836,0.0001455209,0.00004445439,0.2661633],"genre_scores_gemma":[0.8158918,0.01194806,0.0004098465,0.1073541,0.00158721,0.00008130076,0.00009594529,0.00009251473,0.06253923],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09007937,"threshold_uncertainty_score":0.1791101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004714165862999927,"score_gpt":0.1589589598070469,"score_spread":0.154244793944047,"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."}}