{"id":"W2983970670","doi":"10.1920/wp.cem.2019.2119","title":"Optimal Data Collection for Randomized Control Trials","year":2019,"lang":"en","type":"report","venue":"","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Economic and Social Research Council; University of Pennsylvania; Princeton University","keywords":"Randomized controlled trial; Data collection; Geography; Computer science; Statistics; Mathematics; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1527404,0.003030085,0.007818396,0.003438351,0.001557335,0.004023015,0.005014201,0.005352709,0.01368499],"category_scores_gemma":[0.4408199,0.004253617,0.003957625,0.004971743,0.004173392,0.006701403,0.004495009,0.009052945,0.002948573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004581586,"about_ca_system_score_gemma":0.01147165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002004174,"about_ca_topic_score_gemma":0.001661227,"domain_scores_codex":[0.7113953,0.2588858,0.008677777,0.009177586,0.01032746,0.001536165],"domain_scores_gemma":[0.6032674,0.3417211,0.01864738,0.02755539,0.006763886,0.002044941],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.006458795,0.0007971521,0.002714998,0.006274041,0.001736557,0.0003057297,0.0006178482,0.07049675,0.00114752,0.5171957,0.02580181,0.3664531],"study_design_scores_gemma":[0.005679214,0.0009830013,0.001392475,0.002016119,0.000695533,0.0002907152,0.0001184103,0.1417271,0.001712741,0.8206547,0.02460872,0.0001212182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002486207,0.003071923,0.9830402,0.003578845,0.0004198567,0.003237781,0.0005635755,0.000410148,0.003191607],"genre_scores_gemma":[0.06835187,0.002711483,0.9089103,0.001838784,0.0006984008,0.01488175,0.0008732064,0.0002439115,0.001490308],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8472596,"threshold_uncertainty_score":0.8077781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5368749035102747,"score_gpt":0.5423176930024491,"score_spread":0.005442789492174471,"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."}}