{"id":"W6958777548","doi":"10.6084/m9.figshare.65496","title":"Comparison of Bayesian and frequentist approaches in modelling risk of preterm birth near the Sydney Tar Ponds, Nova Scotia, Canada-11","year":2011,"lang":"en","type":"other","venue":"Figshare","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frequentist inference; Bayesian probability; Nova (rocket); tar (computing); Bayesian inference; Inference","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":[],"category_scores_codex":[0.0000357561,0.0001686687,0.0003201721,0.00005248209,0.00002469285,0.00002439739,0.0002044289,0.0001329277,0.02150593],"category_scores_gemma":[0.00002502482,0.0001424165,0.00002827191,0.00008250746,0.00002095107,0.0000240183,0.00003571553,0.0001421404,0.00001079803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002189736,"about_ca_system_score_gemma":0.00007069652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.312835,"about_ca_topic_score_gemma":0.4762447,"domain_scores_codex":[0.9993347,0.00002200307,0.0002576463,0.0001579045,0.00009184833,0.0001358837],"domain_scores_gemma":[0.9994871,0.00003420196,0.0001337808,0.0002973974,0.00001370383,0.00003380804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005944608,0.00007994206,0.006476832,0.007688344,0.0002900966,0.000003610903,0.003114081,0.04603873,0.0006253062,0.0001390781,0.9348326,0.0007054344],"study_design_scores_gemma":[0.001216722,0.00007195916,0.004279086,0.02042586,0.0003082789,0.00001653458,0.001557387,0.4825765,0.02511067,0.0001807114,0.4617198,0.002536415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1171863,0.009462824,0.0003073757,0.00002140549,0.00044319,0.002022031,0.7981489,0.000282041,0.07212585],"genre_scores_gemma":[0.9894283,0.00001422637,0.001142091,0.000003058102,0.00007335118,0.00004793012,0.008325808,0.0002176862,0.0007474817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.872242,"threshold_uncertainty_score":0.9793885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08105185483784186,"score_gpt":0.2389123191928033,"score_spread":0.1578604643549615,"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."}}