{"id":"W7024190504","doi":"","title":"Quarterly data report for... quarter ending 2019: Dec. 31.","year":2019,"lang":"en","type":"article","venue":"State Elections Enforcement Commission (State of Connecticut)","topic":"Black Holes and Theoretical Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Data collection; Period (music); Table (database)","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":[0.0009039707,0.000860897,0.0007530026,0.004242751,0.001066709,0.003129794,0.001080051,0.001452214,0.0918112],"category_scores_gemma":[0.007040966,0.0004983629,0.0004648124,0.006887655,0.0002144078,0.001701796,0.001043657,0.001968386,0.1107339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002964249,"about_ca_system_score_gemma":0.00510182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1707105,"about_ca_topic_score_gemma":0.1907759,"domain_scores_codex":[0.9990667,0.00005170006,0.00009086337,0.0001022341,0.0004881473,0.0002004206],"domain_scores_gemma":[0.9929659,0.0004026552,0.0004949906,0.0002473188,0.005586892,0.0003021983],"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":[0.00003914959,0.00001273682,0.001175818,0.00007937904,0.0000043891,0.00001029854,0.00001203458,0.00005710297,0.00002371988,0.0004531905,0.9958529,0.00227921],"study_design_scores_gemma":[0.000104266,0.00003741146,0.03645434,0.0002203101,0.00002344083,0.00002411914,0.0002644049,0.0003083463,0.0004133997,0.0005390337,0.9615756,0.00003515098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001015762,0.0002124574,0.000115626,0.001471633,0.0008093485,0.00004643066,0.9793703,0.000264492,0.01669403],"genre_scores_gemma":[0.007050122,0.0005472829,0.0002895973,0.0007209592,0.0002930588,0.0002804757,0.8865469,0.0001839053,0.1040878],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1707105,"threshold_uncertainty_score":0.3394337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296781457252609,"score_gpt":0.2836878962097111,"score_spread":0.270720081637185,"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."}}