{"id":"W3124747536","doi":"10.2139/ssrn.3288661","title":"Regression Tree Credibility Model","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Credibility; Regression; Regression analysis; Econometrics; Tree (set theory); Statistics; Computer science; Mathematics; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004971113,0.0009622767,0.001515539,0.002779924,0.0007276762,0.002587976,0.002611947,0.003089538,0.02091721],"category_scores_gemma":[0.04168249,0.0005705511,0.001029101,0.002758091,0.00106373,0.004124466,0.001194253,0.00346447,0.006823273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547007,"about_ca_system_score_gemma":0.001281191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006372009,"about_ca_topic_score_gemma":0.003595373,"domain_scores_codex":[0.9976165,0.001077973,0.00008314849,0.0005713298,0.0004814894,0.0001695159],"domain_scores_gemma":[0.9795207,0.01572878,0.001151977,0.001350414,0.00193698,0.0003111814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002881973,0.000106186,0.002771117,0.0001912768,0.0001508968,0.0003490437,0.0001636267,0.5288718,0.0006502085,0.3206417,0.02294138,0.1228747],"study_design_scores_gemma":[0.00001351368,0.00001642773,0.0002740619,0.00002417348,0.00002053051,0.00009708173,0.00001177894,0.9158031,0.0001731031,0.08106051,0.002492172,0.00001349372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02591821,0.001060534,0.9408699,0.002281263,0.0001846207,0.0001086836,0.001461195,0.001215748,0.02689987],"genre_scores_gemma":[0.7878056,0.001489942,0.1438795,0.0005960934,0.0004951869,0.0003410247,0.003154606,0.0006034789,0.06163454],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02091721,"threshold_uncertainty_score":0.06997502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09921845948464464,"score_gpt":0.3912149481954199,"score_spread":0.2919964887107752,"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."}}