{"id":"W2766830023","doi":"10.5539/jmr.v9n6p106","title":"Estimation of Causal Functional Linear Regression Models","year":2017,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Mathematics; Combinatorics; Tensor product; Order (exchange); Linear operators; Orthonormal basis; Tensor (intrinsic definition); Linear form; Product (mathematics); Linear regression; Mathematical analysis; Geometry; Statistics; Pure mathematics; Physics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005958037,0.0001134309,0.0004523816,0.000251743,0.0003124207,0.00009346641,0.000542262,0.0001115931,0.0001901648],"category_scores_gemma":[0.01517033,0.00007562507,0.0001186176,0.00009022583,0.0003002635,0.000333741,0.0001686718,0.0005762199,0.00001084083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006062139,"about_ca_system_score_gemma":0.0002302556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000764569,"about_ca_topic_score_gemma":0.000001555651,"domain_scores_codex":[0.9970124,0.0002278553,0.0008526125,0.0001087653,0.001555875,0.0002424942],"domain_scores_gemma":[0.9936932,0.003323793,0.001033722,0.0005491878,0.00126031,0.000139819],"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":[0.00009794527,0.000587714,0.00006319012,0.0008140614,0.00007322988,0.00004059116,0.0006512759,0.0001603776,0.002095569,0.9559427,0.003970721,0.03550264],"study_design_scores_gemma":[0.0003472732,0.0001881532,0.000206045,0.0006949884,0.00002519291,0.00006381731,0.0001686688,0.1511883,0.003714574,0.8433233,0.00001780882,0.00006190391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04534784,0.00003481241,0.9502171,0.0003409858,0.0001605546,0.0001293733,0.000009536507,0.000005434514,0.003754383],"genre_scores_gemma":[0.3247733,0.00003285603,0.674855,0.000002160624,0.0001247284,0.000002418699,3.73206e-7,0.00001488995,0.0001942908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2794255,"threshold_uncertainty_score":0.9931253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4651773387358565,"score_gpt":0.5526505462554957,"score_spread":0.08747320751963916,"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."}}