{"id":"W3167721112","doi":"10.1002/cjs.11619","title":"Hazard regression with noncompactly supported bases","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimator; Generalization; Mathematics; Nonparametric statistics; Hazard; Regression; Nonparametric regression; Statistics; Function (biology); Hazard ratio; Applied mathematics; Basis (linear algebra); Regression analysis; Upper and lower bounds; Econometrics; Confidence interval; Mathematical analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003012813,0.0001388048,0.0003588988,0.0001130849,0.0001070869,0.00007905873,0.0001357864,0.00005376372,0.001896584],"category_scores_gemma":[0.004478307,0.00009984347,0.00003896585,0.0001867726,0.000129774,0.00006136975,0.000007811144,0.0002747655,0.000005328853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009467467,"about_ca_system_score_gemma":0.003085318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00032665,"about_ca_topic_score_gemma":0.01075233,"domain_scores_codex":[0.9987462,0.000133651,0.0004459105,0.0001104621,0.0002683866,0.0002953916],"domain_scores_gemma":[0.9965643,0.001230153,0.000304505,0.0001883431,0.0008989857,0.0008136777],"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":[0.0000981808,0.0001152856,0.02018845,0.0002767188,0.0002381949,0.02226744,0.0009302479,0.00001945434,0.000513126,0.6221441,0.2757314,0.05747741],"study_design_scores_gemma":[0.002451013,0.001472822,0.03594444,0.001986554,0.0006124921,0.00479305,0.001763872,0.002147302,0.005177342,0.904866,0.03786481,0.0009203364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02953691,0.0001440272,0.9656709,0.0004830714,0.0003708921,0.00005975004,0.0008741033,0.000006799788,0.002853504],"genre_scores_gemma":[0.1899706,0.0000167484,0.8092666,0.0002240182,0.00009886452,6.048759e-7,0.000008432523,0.00002276476,0.0003912871],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2827218,"threshold_uncertainty_score":0.9990158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09708599890473622,"score_gpt":0.3396319397923857,"score_spread":0.2425459408876495,"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."}}