{"id":"W6922296084","doi":"10.11575/prism/9456","title":"Canadian Gambling Digest 2013-2014","year":2015,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Table (database); Revenue; Salient; Subject (documents); Special section","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":[0.001595215,0.001018223,0.0006965784,0.007787419,0.003607768,0.00455125,0.001697629,0.0008502606,0.1599765],"category_scores_gemma":[0.006058782,0.0006301678,0.0006245736,0.01065131,0.0006271498,0.0009757464,0.00123612,0.001260985,0.04751062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05318347,"about_ca_system_score_gemma":0.1108489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9828723,"about_ca_topic_score_gemma":0.9906362,"domain_scores_codex":[0.9963824,0.00005832534,0.00010765,0.0002006163,0.002802014,0.0004491284],"domain_scores_gemma":[0.9924191,0.0001749307,0.0001296221,0.0002264121,0.00624688,0.0008029495],"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":[0.00001817105,0.000006572346,0.0005481279,0.00006084919,0.000003773803,0.00001599672,0.0000324826,0.00006128042,0.00003051347,0.001571607,0.98151,0.01614058],"study_design_scores_gemma":[0.000005634246,0.000004181725,0.01116674,0.00009854242,0.000004347629,0.00001931931,0.0001133466,0.0001249326,0.00006814263,0.0002280977,0.9881535,0.00001334708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003446928,0.005690915,0.0007222549,0.007721238,0.004619627,0.0003829131,0.5650814,0.001142858,0.4111918],"genre_scores_gemma":[0.01168728,0.006384731,0.001742468,0.001273809,0.0003519303,0.000184632,0.2594274,0.0003451291,0.7186027],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1599765,"threshold_uncertainty_score":0.5351747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302905020848105,"score_gpt":0.192494156800266,"score_spread":0.1794651065917849,"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."}}