{"id":"W7043114532","doi":"","title":"SHORT CUTS #192 - Ontario Proud And Prejudice","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prejudice (legal term); Government (linguistics)","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":[0.0006044029,0.0005084702,0.0004097764,0.001011341,0.00864167,0.005917795,0.001101937,0.005326048,0.4565535],"category_scores_gemma":[0.004071348,0.0004397777,0.0002950505,0.001392025,0.001316652,0.002326061,0.002898237,0.002608397,0.1935025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01227091,"about_ca_system_score_gemma":0.01888456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.676877,"about_ca_topic_score_gemma":0.8895984,"domain_scores_codex":[0.9986344,0.00005525627,0.00003471157,0.00007763246,0.0008027003,0.0003952045],"domain_scores_gemma":[0.9952587,0.0002902961,0.0001105153,0.000193234,0.00233496,0.001812389],"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":[0.000003899456,0.000002846109,0.00008547257,0.00001201079,2.155464e-7,0.00001412328,0.00007090488,0.000001768864,0.00002276072,0.0007009569,0.9958253,0.003259816],"study_design_scores_gemma":[0.000003163294,0.000002931632,0.001576196,0.00003013364,7.909261e-7,0.00001333746,0.0003340671,0.0000068974,0.00003340405,0.000149762,0.9978442,0.000005067242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001764652,0.001574811,0.0001471463,0.05657139,0.007173887,0.0001698765,0.009318678,0.0006065691,0.922673],"genre_scores_gemma":[0.002741475,0.0003181647,0.00005257466,0.004393263,0.0003656706,0.00004121075,0.001132282,0.0001275788,0.9908279],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4565535,"threshold_uncertainty_score":0.7751604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007586391891080487,"score_gpt":0.1908411142875128,"score_spread":0.1832547223964323,"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."}}