{"id":"W4233026180","doi":"10.1007/978-1-4939-7131-2_101007","title":"Roll Call Prediction","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Roll call; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007604467,0.001309535,0.0009056415,0.0009303228,0.000826534,0.002409623,0.001497654,0.00108255,0.05515214],"category_scores_gemma":[0.004269522,0.0003594454,0.0004573763,0.0009159363,0.0005091073,0.002485241,0.001089972,0.002213828,0.02463312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055871,"about_ca_system_score_gemma":0.001535702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008285237,"about_ca_topic_score_gemma":0.007660875,"domain_scores_codex":[0.9993735,0.00006781983,0.00001577546,0.0001411434,0.0003156808,0.00008616911],"domain_scores_gemma":[0.9989429,0.0003360189,0.00006411526,0.0002874789,0.0003130164,0.00005646906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002824817,0.0001308321,0.001504575,0.0001182854,0.00002634931,0.0001335334,0.00008294982,0.06807488,0.001547261,0.04257377,0.3408136,0.5447115],"study_design_scores_gemma":[0.00004186609,0.00008090829,0.002041894,0.0001813096,0.00005537445,0.0002245542,0.0002076709,0.6456728,0.007459186,0.1128546,0.2310871,0.00009279588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01876309,0.003591923,0.4508822,0.007243671,0.005000465,0.000264916,0.004777594,0.0342555,0.4752207],"genre_scores_gemma":[0.3966384,0.003028864,0.07548477,0.001641767,0.001647643,0.0002085819,0.008586007,0.00362587,0.5091381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05515214,"threshold_uncertainty_score":0.1845023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009839362561042229,"score_gpt":0.1691857262479362,"score_spread":0.1593463636868939,"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."}}