{"id":"W2622325340","doi":"10.1177/1532440017713314","title":"A Squire Index Update","year":2017,"lang":"en","type":"article","venue":"State Politics & Policy Quarterly","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Squire; Measure (data warehouse); Legislature; Session (web analytics); Index (typography); Quarter (Canadian coin); Professionalization; Political science; Computer science; Law; Geography; Data mining; Linguistics; Philosophy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002241352,0.0001440544,0.0001880536,0.00009324207,0.003817707,0.0003915677,0.0005305218,0.00006465418,0.00004297726],"category_scores_gemma":[0.0002008806,0.0001419286,0.00009111359,0.00008320124,0.001848402,0.0003528566,0.00005349065,0.0001216956,0.0004098555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623954,"about_ca_system_score_gemma":0.0008034342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2090224,"about_ca_topic_score_gemma":0.01362951,"domain_scores_codex":[0.9983533,0.0000732527,0.0002089424,0.0002102404,0.0003819182,0.0007723169],"domain_scores_gemma":[0.9990456,0.00003454497,0.0001470539,0.0003474687,0.000156196,0.0002691801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000380891,0.00002432796,0.003944184,0.00000281893,0.00002980999,0.00001154631,0.01214952,3.628164e-7,0.00000422054,0.9690707,0.001157178,0.01360155],"study_design_scores_gemma":[0.000234318,0.00005901042,0.03955384,0.00001560094,0.00001127841,0.00000130603,0.002885723,0.000007408582,0.00000644437,0.7555082,0.2015126,0.000204289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3267083,0.0001598456,0.0004438795,0.05731882,0.0008587749,0.0002978228,0.0002380437,0.0001865601,0.6137879],"genre_scores_gemma":[0.9938285,0.00009063538,0.00005004613,0.001307084,0.001658482,0.00001456368,0.000003434835,0.00001016028,0.003037121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6671202,"threshold_uncertainty_score":0.9974792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261224248769182,"score_gpt":0.3540305868266478,"score_spread":0.3279081619497296,"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."}}