{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011538,0.0005753067,0.001259895,0.0001961251,0.0001064408,0.0001573662,0.0004059502,0.0007525883,0.2309716],"category_scores_gemma":[0.02001179,0.0005159507,0.0002179369,0.00003053359,0.0001566383,8.026805e-7,0.0001496172,0.0004898907,0.0006665786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958726,"about_ca_system_score_gemma":0.0002403089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09979586,"about_ca_topic_score_gemma":0.0514753,"domain_scores_codex":[0.9958332,0.0008124258,0.001616967,0.0004567881,0.0008490856,0.0004315513],"domain_scores_gemma":[0.9902875,0.007299257,0.0009796862,0.0005609497,0.000222454,0.0006500945],"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":[0.002370468,0.00006885515,0.00002866981,0.0004001683,0.0001777553,0.00004402512,0.0002579797,0.0001022498,0.000006651329,0.0001597833,0.9954477,0.0009357137],"study_design_scores_gemma":[0.001293826,0.000734897,0.001226646,0.0007408032,0.0001446043,0.00001921633,0.00009881798,0.00004404076,0.00007907854,0.00212173,0.9929521,0.0005442319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002736028,0.00004862734,0.00002565142,0.000901096,0.0004105955,0.001324466,0.002041271,0.00006783968,0.9924444],"genre_scores_gemma":[0.01657704,0.0001033318,0.09501316,0.00124703,0.0006875691,0.00005934669,0.0006558159,0.0003740513,0.8852826],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.230305,"threshold_uncertainty_score":0.9997292,"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."}}