{"id":"W4233665233","doi":"10.22215/etd/2010-09112","title":"A stochastic approximation ECM algorithm for misspecified multivariate probit models","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Multivariate statistics; Multivariate probit model; Mathematics; Probit model; Algorithm; Econometrics; Mathematical economics; Applied mathematics; Statistics","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":[0.001802743,0.0008444545,0.001145299,0.0007821732,0.0003601448,0.0009895916,0.001713685,0.001172817,0.006024789],"category_scores_gemma":[0.007300935,0.0005073558,0.0007913396,0.001439886,0.0004202344,0.001190752,0.00119682,0.002119058,0.001992689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007590826,"about_ca_system_score_gemma":0.00193201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007672897,"about_ca_topic_score_gemma":0.008787436,"domain_scores_codex":[0.99936,0.00026312,0.00004296636,0.00009170745,0.0001790487,0.00006309919],"domain_scores_gemma":[0.9969097,0.002290897,0.0001510642,0.0002196706,0.0003425392,0.000086169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001524153,0.00007345148,0.0007525916,0.0001085712,0.0001089554,0.0001122371,0.00004741132,0.631915,0.001305941,0.04094284,0.007975376,0.3165053],"study_design_scores_gemma":[0.00001369184,0.00001027783,0.00008238469,0.000007922878,0.000007557986,0.00002162641,0.00000459554,0.9890984,0.000216163,0.009429459,0.001102831,0.000005152609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00205385,0.0001727958,0.9964638,0.0001311529,0.00003331654,0.00001459886,0.00008121869,0.000451846,0.0005974239],"genre_scores_gemma":[0.09858043,0.000619015,0.8911076,0.0002774218,0.0001751662,0.0001998448,0.001085286,0.000328807,0.007626386],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007672897,"threshold_uncertainty_score":0.02015489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298286538806724,"score_gpt":0.2967036961942104,"score_spread":0.266875042313538,"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."}}