{"id":"W3198630047","doi":"","title":"Trump campaign rakes in $46M in fourth quarter, blowing past Democrats’ hauls","year":2020,"lang":"en","type":"article","venue":"FOXBusiness","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Quarter (Canadian coin); Political science; Economic history","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009534794,0.0002865734,0.000613128,0.0003228011,0.000115865,0.0001563091,0.0003925003,0.0001789985,0.00017508],"category_scores_gemma":[0.0008473567,0.0002681356,0.0000844237,0.001755421,0.00006015355,0.0009655243,0.0001816336,0.0003155853,0.0003282857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006272246,"about_ca_system_score_gemma":0.00005002968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007944163,"about_ca_topic_score_gemma":0.001133799,"domain_scores_codex":[0.997547,0.00007810799,0.0007602432,0.0004737766,0.0001981464,0.00094271],"domain_scores_gemma":[0.9992599,0.0001382774,0.0002136646,0.0002339183,0.00009475652,0.00005948581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001884066,0.0002198096,0.5983766,0.001219051,0.00002287005,0.0002192086,0.0007658883,0.01144989,0.0001291927,0.01146904,0.3680587,0.007881404],"study_design_scores_gemma":[0.002014733,0.00002480893,0.328905,0.000183719,0.00001618705,0.000004940056,0.001380428,0.09181058,0.000002350239,0.002128412,0.5729669,0.0005619525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8218995,0.0001489612,0.001016731,0.1676731,0.0007964876,0.0004524514,0.000004914199,0.000167271,0.00784051],"genre_scores_gemma":[0.9285804,0.00001518104,0.0001278365,0.06912677,0.002024979,0.00003656279,0.0000379084,0.00003192063,0.0000184492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2694716,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03694324398030499,"score_gpt":0.2680561820270624,"score_spread":0.2311129380467574,"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."}}