{"id":"W3101287979","doi":"","title":"EXISTENCE AND CONSTRUCTION OF RANDOMIZATION DEFINING CONTRAST SUBSPACES FOR REGULAR FACTORIAL DESIGNS","year":2012,"lang":"en","type":"article","venue":"","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burnaby Hospital; Acadia University; Simon Fraser University","funders":"","keywords":"Mathematics; Fractional factorial design; Factorial; Factorial experiment; Restricted randomization; Randomization; Linear subspace; Statistics; Pure mathematics","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":[0.01556387,0.0009838421,0.001235462,0.001506971,0.0005483216,0.001387928,0.00104661,0.0009599138,0.003978266],"category_scores_gemma":[0.03641854,0.0007170769,0.001279591,0.001060496,0.003862221,0.00222304,0.002257707,0.001973211,0.0006867377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009099962,"about_ca_system_score_gemma":0.001265156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001358044,"about_ca_topic_score_gemma":0.0001435418,"domain_scores_codex":[0.9738758,0.02075334,0.0008509035,0.001857113,0.002280649,0.0003821388],"domain_scores_gemma":[0.9586236,0.03237689,0.003552188,0.003169854,0.001825282,0.0004521711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003973257,0.0001125748,0.001290427,0.000501074,0.00007772266,0.0001222129,0.0003419062,0.02263782,0.01028113,0.8515319,0.0007952245,0.1119106],"study_design_scores_gemma":[0.0002361036,0.001599131,0.001689117,0.0002628473,0.00008061715,0.0003846429,0.000105526,0.1162488,0.01822982,0.8466222,0.01442816,0.0001130216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005000229,0.0001024691,0.9936232,0.00005036517,0.000009748772,0.00007502778,0.00004750264,0.00005010799,0.001041401],"genre_scores_gemma":[0.1082609,0.0002047491,0.8898169,0.0001108316,0.00004167004,0.0008178541,0.0001082784,0.0000440703,0.0005947602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01556387,"threshold_uncertainty_score":0.08231062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2150164648240925,"score_gpt":0.446678120551414,"score_spread":0.2316616557273215,"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."}}