{"id":"W7101109360","doi":"","title":"IT","year":2013,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Distribution (mathematics); Private sector; Electricity; Public sector","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":[0.001388751,0.0004217896,0.0003381236,0.001223237,0.004919235,0.008150364,0.0009676937,0.001812134,0.1851495],"category_scores_gemma":[0.004237941,0.0002733691,0.0003401664,0.001778304,0.001430283,0.002223063,0.001506723,0.001507287,0.07254602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02307359,"about_ca_system_score_gemma":0.03855209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6894297,"about_ca_topic_score_gemma":0.7614352,"domain_scores_codex":[0.9967283,0.0001443328,0.00008208155,0.0003714034,0.001967232,0.0007064986],"domain_scores_gemma":[0.9941441,0.0001406744,0.0001150308,0.0005038444,0.004367571,0.0007286674],"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":[0.00003462489,0.00002071367,0.001606137,0.00009658053,0.000006553711,0.00006314317,0.0006063221,0.00007813971,0.0006897256,0.08737092,0.851763,0.05766429],"study_design_scores_gemma":[0.000002620229,0.000002100944,0.0009148075,0.00002227668,0.000002273106,0.00001368912,0.00009013302,0.00003979695,0.0001147315,0.0009773109,0.997816,0.000004142273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001928571,0.0006676345,0.001220338,0.01315141,0.0007398489,0.00008760044,0.003090161,0.0005457596,0.9785687],"genre_scores_gemma":[0.02275214,0.0006899973,0.001016573,0.003488075,0.0002447652,0.00003809994,0.0028206,0.000240329,0.9687094],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8148506,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969067958793054,"score_gpt":0.2902488251351323,"score_spread":0.2705581455472018,"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."}}