{"id":"W7100179836","doi":"","title":"An Explanatory Testlet Response Model.............................................................. 2","year":2013,"lang":"en","type":"article","venue":"","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Discretion; Accreditation; Public law; Consistency (knowledge bases); Common law","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":[0.008687177,0.001392619,0.0009230535,0.001767613,0.001075793,0.002465073,0.003119651,0.002886638,0.108836],"category_scores_gemma":[0.04441692,0.000744804,0.001714546,0.002036112,0.0007010498,0.00211613,0.001793792,0.002802534,0.02027312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002792258,"about_ca_system_score_gemma":0.002880628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0170077,"about_ca_topic_score_gemma":0.01009329,"domain_scores_codex":[0.9949647,0.003486354,0.0002141833,0.0005222908,0.0004643957,0.0003480672],"domain_scores_gemma":[0.9711822,0.0209946,0.001613996,0.001294892,0.004355291,0.0005589353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005736728,0.007372006,0.3693661,0.002166737,0.001038389,0.001351896,0.009282858,0.05373837,0.001171957,0.1509817,0.2213405,0.1764528],"study_design_scores_gemma":[0.003412901,0.003352355,0.1842181,0.001841516,0.00155833,0.0008537609,0.00930183,0.6054047,0.001527118,0.08667789,0.1013608,0.0004906635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5866602,0.0006415991,0.1991517,0.01799916,0.00219686,0.01212668,0.07757128,0.002643475,0.101009],"genre_scores_gemma":[0.8674737,0.0003695043,0.03661865,0.00103873,0.0002119266,0.01296899,0.02107439,0.0002492587,0.05999483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.108836,"threshold_uncertainty_score":0.3640926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05018061615538139,"score_gpt":0.4020536275376426,"score_spread":0.3518730113822612,"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."}}