{"id":"W1999209770","doi":"10.1002/cjs.11169","title":"Statistical inference for multivariate partially linear regression models","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Estimator; Nonparametric statistics; Multivariate statistics; Statistical inference; Statistics; Mathematics; Asymptotic distribution; Nonparametric regression; Inference; Parametric statistics; Statistical hypothesis testing; Linear regression; Econometrics; Linear model; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006839987,0.0002219014,0.0005381983,0.0001438303,0.0001780363,0.00008493392,0.0002630971,0.0001149012,0.0004582579],"category_scores_gemma":[0.01071697,0.0001709484,0.00007164807,0.00008220624,0.0001670041,0.0002715978,0.00001640884,0.0003173857,0.00001450903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116869,"about_ca_system_score_gemma":0.00101014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008595591,"about_ca_topic_score_gemma":0.001854179,"domain_scores_codex":[0.9978172,0.0001590649,0.001018392,0.0001959438,0.000286243,0.0005231152],"domain_scores_gemma":[0.9923002,0.004513826,0.0005171393,0.0002324856,0.001335411,0.001100926],"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":[0.00003118525,0.00003086684,0.0000524478,0.00008658152,0.0000413926,0.00007397558,0.0003735255,0.001093195,0.0001040581,0.9379094,0.02021534,0.03998801],"study_design_scores_gemma":[0.0005430197,0.0002365407,0.0001930497,0.00009811718,0.00006298027,0.00002050637,0.00007046246,0.1382945,0.00005738187,0.8584605,0.001778632,0.0001843617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008801031,0.00003839364,0.9958953,0.0002111321,0.0003633429,0.0003729946,0.002004864,0.000007880235,0.0002259789],"genre_scores_gemma":[0.1321359,0.00001087523,0.8672798,0.0001247698,0.0001517428,0.00001808685,0.00001901372,0.00003959908,0.0002202596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1372013,"threshold_uncertainty_score":0.9976162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1612147932264194,"score_gpt":0.4182351788411224,"score_spread":0.2570203856147031,"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."}}