{"id":"W7047545107","doi":"","title":"Evaluating kindergarten retention policy: A case study of causal inference for multilevel observational data","year":2014,"lang":"en","type":"article","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Causal inference; Observational study; Causal model; Multilevel model; Class (philosophy); Term (time); Normative","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007568212,0.0000772519,0.0001169461,0.00006909631,0.00009706215,0.0000302651,0.0002311396,0.0000145031,0.01113321],"category_scores_gemma":[0.0002780007,0.00006837329,0.00002141529,0.0001035486,0.00001691189,0.00004274075,0.0002984257,0.00005662935,0.000003547479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003530956,"about_ca_system_score_gemma":0.0001701259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011822,"about_ca_topic_score_gemma":0.0009979958,"domain_scores_codex":[0.9989147,0.0000876775,0.0002846666,0.0002515183,0.0003116319,0.0001498723],"domain_scores_gemma":[0.99861,0.0004616418,0.0001040205,0.0004917387,0.0002861581,0.00004647868],"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":[0.00003227343,0.0008850464,0.07979941,0.00003840373,0.00007892783,0.000001668148,0.0005606952,0.000117834,0.005095073,0.01841423,0.00211134,0.8928651],"study_design_scores_gemma":[0.002740494,0.0006859873,0.05235523,0.00001228295,0.0000386015,0.000001597941,0.003534291,0.938319,0.0001150508,0.0008517572,0.001217025,0.0001286398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456377,5.681649e-7,0.04825305,0.0003820584,0.00002859049,0.0009334241,0.00007980446,0.000009580701,0.004675205],"genre_scores_gemma":[0.9911556,4.793312e-8,0.005986419,0.00001833304,0.0001393253,0.000102809,0.0001826096,0.000005699151,0.002409199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9382012,"threshold_uncertainty_score":0.9897708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4035657516617621,"score_gpt":0.4855761119634429,"score_spread":0.08201036030168085,"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."}}