{"id":"W2942651266","doi":"10.1111/bmsp.12166","title":"Bayesian generalized structured component analysis","year":2019,"lang":"en","type":"article","venue":"British Journal of Mathematical and Statistical Psychology","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National University of Singapore","keywords":"Component (thermodynamics); Bayesian probability; Component analysis; Econometrics; Mathematics; Statistics; Computer science; Applied 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":[0.008764805,0.00195196,0.002506782,0.003111597,0.001213706,0.003017221,0.00307193,0.001863385,0.008353111],"category_scores_gemma":[0.03563248,0.0008867326,0.002545189,0.004531533,0.001443533,0.002412982,0.002688557,0.00292499,0.002723382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562983,"about_ca_system_score_gemma":0.004333611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217534,"about_ca_topic_score_gemma":0.01090055,"domain_scores_codex":[0.9922284,0.004781129,0.0003169252,0.001254315,0.001085731,0.0003335037],"domain_scores_gemma":[0.9896774,0.005786312,0.0007462106,0.001216497,0.002338268,0.0002352794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000278528,0.0001536558,0.005742321,0.0005646863,0.0008993614,0.0002001438,0.0005874211,0.2400623,0.001358435,0.320141,0.02265512,0.407357],"study_design_scores_gemma":[0.00004240772,0.00004373708,0.001675648,0.0001093476,0.0001024723,0.00009480141,0.00007125559,0.7793291,0.0003291029,0.2066597,0.01147676,0.00006555477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002865864,0.0004853743,0.9936698,0.0002558689,0.00007877647,0.0001968785,0.0004370706,0.0004506994,0.00155969],"genre_scores_gemma":[0.1435157,0.001520384,0.8434654,0.0003886323,0.0002811706,0.001513684,0.003433783,0.0005101292,0.005371041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01217534,"threshold_uncertainty_score":0.04635328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0576921882517152,"score_gpt":0.4172079433688679,"score_spread":0.3595157551171527,"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."}}