{"id":"W7049305228","doi":"","title":"Nov 5: AB Premier Danielle Smith, Premiers on Carbon Tax","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Payment; George (robot); Carbon tax; Tax credit; Tax reform","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":[0.00030171,0.0006140317,0.0003129164,0.0005353232,0.005058779,0.002861535,0.0006461137,0.00169622,0.6766407],"category_scores_gemma":[0.0009641489,0.0004280226,0.0002607536,0.0004320671,0.0004327268,0.001147194,0.001448003,0.002481583,0.4552647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002987741,"about_ca_system_score_gemma":0.003515245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2719074,"about_ca_topic_score_gemma":0.6705578,"domain_scores_codex":[0.9997239,0.000007341021,0.000003813538,0.00002360004,0.000116709,0.0001246828],"domain_scores_gemma":[0.9993593,0.00001590165,0.00001000016,0.00001920159,0.0002625383,0.0003330587],"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":[0.000009664886,0.000006489831,0.00007225234,0.000005616009,2.761943e-7,0.00002691258,0.00001558215,0.000009036061,0.00005244798,0.0002329802,0.9950696,0.004499139],"study_design_scores_gemma":[0.00000398639,0.00000535815,0.00051176,0.00001440406,5.850471e-7,0.00001742307,0.0001097278,0.00002026583,0.00005403953,0.00008784029,0.9991711,0.000003500942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001044934,0.0007292294,0.0002316618,0.009191877,0.004904051,0.0001019412,0.002355654,0.001363552,0.9800772],"genre_scores_gemma":[0.0009225202,0.000102078,0.0000378649,0.0007388492,0.00007742199,0.000005543603,0.0002017343,0.00007733645,0.9978368],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7280926,"threshold_uncertainty_score":0.5406494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006105094107603075,"score_gpt":0.1978001138794886,"score_spread":0.1916950197718855,"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."}}