{"id":"W7064526625","doi":"","title":"The Calgary Brentwood 5 Murders (AB)","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; EPIC; Narrative; Discretion; Content (measure theory)","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":[0.0003878536,0.0006049025,0.0004015019,0.0007737849,0.01078928,0.002927993,0.0009339774,0.002055256,0.1127281],"category_scores_gemma":[0.002991796,0.0003839944,0.0002208871,0.0006033887,0.001141225,0.001234637,0.004503476,0.004493428,0.0170454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004775685,"about_ca_system_score_gemma":0.003163709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1767206,"about_ca_topic_score_gemma":0.499154,"domain_scores_codex":[0.9993396,0.00006721749,0.00001895248,0.0000906953,0.0002319511,0.0002515223],"domain_scores_gemma":[0.9990287,0.00007278269,0.00006965967,0.00005206751,0.0002655945,0.0005112831],"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":[0.00008760431,0.00004189837,0.003951216,0.0001506409,0.000007300035,0.003556272,0.0224444,0.00003131741,0.0005681739,0.003753043,0.9041363,0.06127181],"study_design_scores_gemma":[0.000009366961,0.00003948097,0.01276658,0.0002689442,0.000003963014,0.0008971194,0.02056285,0.00002245102,0.000276653,0.0004507955,0.9646885,0.00001317908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0850921,0.005765161,0.0008028111,0.03379992,0.009700462,0.0005214002,0.004508001,0.0008625486,0.8589476],"genre_scores_gemma":[0.1427134,0.002267076,0.0005119478,0.01527972,0.0007654817,0.000160638,0.002293253,0.000401544,0.8356069],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8232794,"threshold_uncertainty_score":0.377113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004740995411715077,"score_gpt":0.1942671075810781,"score_spread":0.189526112169363,"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."}}