{"id":"W6981778971","doi":"","title":"Federal fiscal snapshot. Impact on and response to snapshot from Canadian Federation of Independent Business. Dan Kelly. President/CEO CFIB","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snapshot (computer storage); Government (linguistics); Fiscal year","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":[0.007025554,0.001065827,0.000835626,0.003492776,0.005754782,0.005739028,0.002263343,0.00437993,0.1265425],"category_scores_gemma":[0.03135037,0.0007727296,0.0006338086,0.004559186,0.001033981,0.001640949,0.002335302,0.00496509,0.03709279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03332342,"about_ca_system_score_gemma":0.1312813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.947197,"about_ca_topic_score_gemma":0.9635081,"domain_scores_codex":[0.9940357,0.0003333963,0.0002197634,0.0002245077,0.003946549,0.001239944],"domain_scores_gemma":[0.9608444,0.002791048,0.0008097739,0.0005887563,0.02704239,0.007923572],"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":[0.00001128431,0.000003531631,0.00008865536,0.00001530143,6.279128e-7,0.000005170227,0.000007022221,0.00001525204,0.000005720236,0.0002191941,0.9974572,0.002171005],"study_design_scores_gemma":[0.00003276273,0.00000901337,0.005367953,0.0001529603,0.000006144574,0.00001165622,0.0001700085,0.0001140854,0.00007424381,0.0002690127,0.9937614,0.00003080966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002736445,0.007994894,0.000669272,0.2715536,0.05308854,0.00122054,0.2130326,0.00290241,0.4468017],"genre_scores_gemma":[0.0215173,0.007593199,0.002630595,0.08087813,0.004585149,0.0009379556,0.06316667,0.001159252,0.8175317],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1265425,"threshold_uncertainty_score":0.4233267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05959140602414402,"score_gpt":0.3360588047605639,"score_spread":0.2764673987364199,"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."}}