{"id":"W3123846264","doi":"10.2139/ssrn.2476802","title":"Detecting Complete and Joint Mixability","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Joint (building); Computer science; Engineering; Structural engineering","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":[0.005723369,0.001007792,0.001503538,0.003987901,0.0008601291,0.00330918,0.001450274,0.001709025,0.003570633],"category_scores_gemma":[0.03458744,0.0009353342,0.001183789,0.002033744,0.00144622,0.005044069,0.005344148,0.001548375,0.001028902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006781649,"about_ca_system_score_gemma":0.0009881152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009337924,"about_ca_topic_score_gemma":0.001105812,"domain_scores_codex":[0.991976,0.001389483,0.0005556085,0.002202876,0.002875546,0.001000619],"domain_scores_gemma":[0.9711217,0.01507819,0.00532317,0.004373854,0.002674646,0.001428505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.005231566,0.0007931428,0.5751467,0.0003964891,0.001323397,0.001052019,0.001154375,0.04668562,0.07521532,0.02538004,0.001893724,0.2657275],"study_design_scores_gemma":[0.000149029,0.001534436,0.1811159,0.00008752327,0.000537873,0.00177287,0.001098123,0.6315379,0.08745972,0.08895383,0.005519418,0.0002334052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7721822,0.0002813193,0.2211076,0.0001944408,0.00004315987,0.0001387842,0.0009689144,0.0007492619,0.004334192],"genre_scores_gemma":[0.9764015,0.00006210577,0.021236,0.00003778454,0.00002947387,0.00005811263,0.0006662135,0.0000650145,0.001443798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005723369,"threshold_uncertainty_score":0.03026843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08259135178070043,"score_gpt":0.3717379380676438,"score_spread":0.2891465862869434,"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."}}