{"id":"W7124232744","doi":"","title":"HHRU 02:04W","year":2002,"lang":"en","type":"report","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public policy; Work (physics); Perspective (graphical); Scope (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":["insufficient_payload"],"category_scores_codex":[0.0009148032,0.0006265942,0.0006430304,0.00141968,0.002445551,0.003860926,0.001210188,0.002641792,0.705237],"category_scores_gemma":[0.00241102,0.000495776,0.0004285744,0.001821045,0.0004702095,0.0008878997,0.001158802,0.001208443,0.5367232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004706444,"about_ca_system_score_gemma":0.006847104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2753974,"about_ca_topic_score_gemma":0.4091858,"domain_scores_codex":[0.9992982,0.00005763067,0.00002091385,0.00007612321,0.0003630828,0.0001840025],"domain_scores_gemma":[0.9983199,0.0001593373,0.00003145735,0.0002049464,0.0009546346,0.0003296871],"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":[0.0001274903,0.00006699853,0.0006758183,0.00009517928,0.00000503192,0.00008734699,0.00009811166,0.0001148858,0.0004470942,0.003341986,0.9676818,0.02725812],"study_design_scores_gemma":[0.00002914342,0.00004486689,0.005276586,0.00008652906,0.000003238686,0.00003013651,0.0001273938,0.00013482,0.0004690788,0.0002937226,0.9934923,0.00001211955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001381161,0.0001478984,0.0003770159,0.0008441703,0.000391377,0.0004043137,0.03573912,0.00209243,0.9586225],"genre_scores_gemma":[0.00127085,0.0000466071,0.00009864897,0.0001113149,0.00001462501,0.0000460299,0.004256887,0.000169839,0.9939852],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.294763,"threshold_uncertainty_score":0.5475887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359366854815132,"score_gpt":0.200249463098283,"score_spread":0.1766557945501317,"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."}}