{"id":"W2914546816","doi":"10.1016/b978-0-44-463782-6.00003-3","title":"Experimental Planning","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Multivariate statistics; Variables; Econometrics; Statistics; Set (abstract data type); Regression analysis; Regression; Computer science; Mathematics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002531204,0.0007203337,0.0011367,0.0004136602,0.0005590405,0.0008965625,0.002651364,0.0005441772,0.003294987],"category_scores_gemma":[0.000449938,0.0005916642,0.0006112842,0.00001054587,0.0005695139,0.0002347614,0.0009091496,0.0006757354,0.003896458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745897,"about_ca_system_score_gemma":0.0001652679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.121171e-7,"about_ca_topic_score_gemma":6.441584e-7,"domain_scores_codex":[0.9945378,0.0001585641,0.001120366,0.001340466,0.002348545,0.0004942038],"domain_scores_gemma":[0.9951323,0.0006209512,0.001100602,0.002623051,0.000182043,0.0003410751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004654323,0.00001139899,0.000005571697,0.000004101307,0.00005297012,0.0001911073,0.0007605237,0.000001764128,0.00307595,0.007496797,0.001853367,0.9864999],"study_design_scores_gemma":[0.0002869909,0.0001499718,0.00001370696,0.0002156202,0.00002601461,0.00004738077,0.00008467362,0.00002209672,0.008753237,0.04215501,0.94759,0.0006552855],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004756133,0.004843439,0.00008700298,0.00002909832,0.001682749,0.0005392571,0.00003052229,0.00009796346,0.9926424],"genre_scores_gemma":[0.002992964,0.000005103519,0.01321281,0.0002980852,0.000596377,0.00004085574,0.000006858878,0.0001397042,0.9827073],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9858446,"threshold_uncertainty_score":0.9996535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1907696349504392,"score_gpt":0.4499048192428757,"score_spread":0.2591351842924365,"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."}}