{"id":"W2068450890","doi":"10.1097/00001648-200211000-00024","title":"Different Convergence Parameters Applied to the S-PLUS GAM Function","year":2002,"lang":"en","type":"letter","venue":"Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Medicine; Public health; Function (biology); Epidemiology; Generalized additive model; Set (abstract data type); Environmental health; Econometrics; Gerontology; Computer science; Statistics; Mathematics; Economics; Economic growth; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001487645,0.0003696129,0.0007764013,0.00004161839,0.0002543004,0.000008120771,0.0005774201,0.0008444663,0.006663214],"category_scores_gemma":[0.0008139783,0.0002346282,0.0001368236,0.0001460622,0.0003490809,0.00003616984,0.0002570127,0.001682091,0.01197326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709143,"about_ca_system_score_gemma":0.00001365501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006128255,"about_ca_topic_score_gemma":0.0001580487,"domain_scores_codex":[0.9961883,0.001087294,0.0006877587,0.0007409922,0.0002475531,0.001048139],"domain_scores_gemma":[0.9961151,0.002515329,0.0003515007,0.0007798771,0.000004726767,0.0002335059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003397905,0.000009015856,0.001811148,0.0000290542,0.00001672745,0.000004888119,0.0001743385,0.001546235,0.00000207504,0.00008902753,0.9920515,0.004231979],"study_design_scores_gemma":[0.0001112661,0.0001989952,0.0307855,0.00001159204,0.0000307324,0.000007450423,0.00001280707,0.0007557711,0.000002995668,0.002438612,0.9653803,0.0002640023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002784325,0.0001018222,0.01205852,0.9784424,0.001752558,0.0008259091,0.00002111366,0.00007362032,0.003939755],"genre_scores_gemma":[0.006377986,0.0001167967,0.0006511562,0.9871796,0.001314837,0.0002082706,0.00008116274,0.00002943052,0.004040781],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02897436,"threshold_uncertainty_score":0.9942448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1424962338889195,"score_gpt":0.3232465169329701,"score_spread":0.1807502830440507,"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."}}