{"id":"W4414594662","doi":"10.1080/07350015.2025.2565281","title":"Binary Outcomes and Linear Interactions","year":2025,"lang":"en","type":"article","venue":"Journal of Business and Economic Statistics","topic":"School Choice and Performance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Agence Nationale de la Recherche; Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of North Carolina","keywords":"Binary number; Key (lock); Microfoundations; Simple (philosophy); Linear model; Binary data; Least-squares function approximation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001902441,0.00003935286,0.000123082,0.0000834932,0.0001702875,0.00005993449,0.00004712117,0.00002101615,0.00008393585],"category_scores_gemma":[0.0001218138,0.0000337166,0.00001153988,0.00004609368,0.00007375715,0.0002428382,0.0000162351,0.00007349253,0.00000401314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003236997,"about_ca_system_score_gemma":0.0001555178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004333948,"about_ca_topic_score_gemma":0.0008939413,"domain_scores_codex":[0.9996595,0.00001386116,0.0001855666,0.00004176841,0.00003170994,0.00006760877],"domain_scores_gemma":[0.9995346,0.000195272,0.0001165815,0.00003056038,0.00008226855,0.00004070316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000595218,0.00003567582,0.899723,0.00005874711,0.00009270594,0.00001175919,0.001580794,0.0002799616,0.00001333535,0.02567686,0.03418596,0.03828167],"study_design_scores_gemma":[0.0003288524,0.00001607364,0.855571,0.00004618819,0.00003605664,0.000006760827,0.00100368,0.0008038257,0.000002033476,0.002886788,0.1392383,0.00006042765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848353,0.0004051494,0.004550812,0.005076587,0.001633536,0.00003454327,0.00002991223,0.000004242488,0.003429974],"genre_scores_gemma":[0.9868328,0.004899149,0.004966625,0.0003740283,0.0004563533,7.492192e-7,0.000001327175,0.000003884238,0.002465099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1050524,"threshold_uncertainty_score":0.1374923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689077356720647,"score_gpt":0.340866661004218,"score_spread":0.3139758874370115,"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."}}