{"id":"W2146675947","doi":"10.1198/jasa.2009.0011","title":"Estimating Response-Maximized Decision Rules With Applications to Breastfeeding","year":2009,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Breastfeeding; Estimation; Breastfeeding promotion; Probit; Probit model; Medicine; Decision rule; Set (abstract data type); Observational study; Duration (music); Term (time); Randomized controlled trial; Econometrics; Mathematics; Statistics; Computer science; Pediatrics; Economics","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":[0.03753005,0.001948401,0.005104216,0.002264195,0.001028877,0.00295263,0.002786944,0.003832127,0.003577908],"category_scores_gemma":[0.1499425,0.001699894,0.002730597,0.001927102,0.002774074,0.002447481,0.002986686,0.00484877,0.0005202928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002698771,"about_ca_system_score_gemma":0.003305882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01076563,"about_ca_topic_score_gemma":0.005308334,"domain_scores_codex":[0.9743091,0.02120624,0.0006900269,0.001998874,0.001029827,0.000765828],"domain_scores_gemma":[0.8069534,0.1817674,0.004308843,0.003234372,0.002966804,0.0007691433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002405985,0.000156978,0.004412615,0.0001573398,0.0002658268,0.000116318,0.0002253067,0.9243326,0.0002857366,0.04107304,0.0005936777,0.02813992],"study_design_scores_gemma":[0.00005550729,0.00005940559,0.0004832663,0.00003689337,0.00003122886,0.00001535945,0.00002895142,0.9660503,0.0002180132,0.03259253,0.0004058818,0.00002270636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0389254,0.0009386589,0.9569041,0.000814779,0.00006735113,0.0003383791,0.0002073085,0.0004241761,0.001379966],"genre_scores_gemma":[0.5108871,0.0009153019,0.4813606,0.0007290947,0.0001547379,0.00146212,0.0007306699,0.0002382158,0.003522252],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03753005,"threshold_uncertainty_score":0.1984802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009983025576045983,"score_gpt":0.3125343999993475,"score_spread":0.3025513744233015,"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."}}