{"id":"W2169459393","doi":"10.2307/3316032","title":"Flexible regression modeling","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Basis function; Affine transformation; Covariate; Computer science; Algorithm; Computation; Logistic regression; Basis (linear algebra); Regression analysis; Mathematics; 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":[0.00009270634,0.00004918087,0.00007595937,0.00008916755,0.0001322282,0.00009477728,0.0003616675,0.00002048066,0.00002562993],"category_scores_gemma":[0.00002379905,0.00004076533,0.00001978548,0.0001877149,0.00001704978,0.0001512067,0.00001042752,0.0001182342,0.000009872501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003938777,"about_ca_system_score_gemma":0.0003766888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004410478,"about_ca_topic_score_gemma":0.001461899,"domain_scores_codex":[0.9994813,0.00001141498,0.0001838887,0.00006370403,0.00009538839,0.000164338],"domain_scores_gemma":[0.9992126,0.00002915912,0.00008876384,0.0001359788,0.0001611064,0.000372419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003996771,0.00001630433,0.001199843,0.000007316708,0.00001648165,0.0009057782,0.0003668351,0.07069065,0.0001212155,0.5393413,0.112721,0.2746093],"study_design_scores_gemma":[0.0001864472,0.00006739475,0.0003440377,0.00006929757,0.000008326718,0.0005197798,0.00002887489,0.8407307,0.00005542335,0.0825961,0.07525448,0.0001390845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002924881,0.0002188214,0.9947844,0.0010853,0.000234504,0.00002195622,0.000008735257,0.000005695557,0.0007157027],"genre_scores_gemma":[0.8064517,0.0001062299,0.1926124,0.0003360782,0.0001617434,5.383035e-7,0.000001378983,0.000005507605,0.0003243791],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8035269,"threshold_uncertainty_score":0.1662362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114403781486139,"score_gpt":0.2565098527317987,"score_spread":0.2153658149169373,"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."}}