{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01189276,0.001704639,0.001637719,0.003514585,0.000846573,0.001828795,0.003470602,0.002167525,0.006285653],"category_scores_gemma":[0.05134786,0.001465994,0.002601758,0.002665968,0.002087643,0.002950268,0.002725604,0.003345809,0.001088041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834742,"about_ca_system_score_gemma":0.003253484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009968019,"about_ca_topic_score_gemma":0.009367539,"domain_scores_codex":[0.9908097,0.006777033,0.0002821773,0.0009262054,0.0008593496,0.0003454687],"domain_scores_gemma":[0.9771271,0.01709113,0.002015429,0.002244102,0.001241765,0.0002804685],"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":[0.00007278973,0.0001171971,0.003506707,0.0002322174,0.0003520441,0.000163338,0.0002462612,0.3367293,0.0009032277,0.5844449,0.002947775,0.07028427],"study_design_scores_gemma":[0.00001611361,0.00003625821,0.0004870431,0.00004556129,0.00004997519,0.00004401732,0.00003987312,0.7739352,0.0004527937,0.2224286,0.002432474,0.00003203455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002007299,0.00008985061,0.9970363,0.000152834,0.00001740517,0.00002351461,0.00008793779,0.0001414598,0.0004433195],"genre_scores_gemma":[0.2260361,0.0008853236,0.765475,0.0004080394,0.000237965,0.0008200931,0.001430377,0.0002725661,0.004434638],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01189276,"threshold_uncertainty_score":0.06289566,"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."}}