{"id":"W4388188705","doi":"10.1002/cjs.11797","title":"Fused mean structure learning in data integration with dependence","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Oracle; Computer science; Pairwise comparison; Inference; Sensor fusion; Flexibility (engineering); Machine learning; Artificial intelligence; Data mining; Mathematics; Mathematical optimization; Algorithm; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006500155,0.0001028245,0.0002220053,0.0002653389,0.00007406691,0.00006909989,0.0003457858,0.00005277754,0.0002033886],"category_scores_gemma":[0.006066334,0.00007984811,0.000009105832,0.0003792725,0.00007801937,0.0001176964,0.00001903384,0.0004874548,0.000005304799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000824499,"about_ca_system_score_gemma":0.0009314099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196167,"about_ca_topic_score_gemma":0.1507385,"domain_scores_codex":[0.9988926,0.0001290907,0.0003703935,0.0001259889,0.0002312265,0.0002507186],"domain_scores_gemma":[0.9979646,0.001089654,0.0002163398,0.0002094769,0.0002308908,0.0002890465],"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":[0.00007719659,0.00002355559,0.02862491,0.0001973981,0.0001000864,0.00417119,0.007030699,0.0007853128,0.0005816018,0.7214532,0.03047292,0.2064819],"study_design_scores_gemma":[0.001075743,0.0004866191,0.0487173,0.0006783262,0.0001144955,0.0002996393,0.003325064,0.03717185,0.0002089949,0.905268,0.002205727,0.0004482752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05756699,0.00002546172,0.9405203,0.0002301079,0.0002248258,0.00009744619,0.001079657,0.00001339385,0.0002417802],"genre_scores_gemma":[0.5502921,0.00001085307,0.4494849,0.00002959073,0.00004736471,3.999868e-7,0.00003981869,0.00001549996,0.00007944123],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4927251,"threshold_uncertainty_score":0.8647583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15212768978526,"score_gpt":0.3509040093884935,"score_spread":0.1987763196032335,"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."}}