{"id":"W6930936221","doi":"10.5281/zenodo.14941604","title":"Type-Preserving Flat Closure Optimization Artifact","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artifact (error); Closure (psychology); Minification; Smoothing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001896453,0.0002984512,0.0005420378,0.0003869797,0.0006889084,0.0005231203,0.001386805,0.0004109281,0.1974655],"category_scores_gemma":[0.06642363,0.0003011163,0.0001180159,0.0006986577,0.0001700252,0.00006928471,0.001595834,0.000590942,0.006094006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264045,"about_ca_system_score_gemma":0.00001207301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001590862,"about_ca_topic_score_gemma":4.7427e-7,"domain_scores_codex":[0.9962741,0.001505599,0.0006095429,0.0006605423,0.0005394103,0.0004108587],"domain_scores_gemma":[0.9963556,0.001430876,0.0003803356,0.001057474,0.0005879247,0.000187798],"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":[0.00005113691,0.00007392111,5.050917e-7,0.0003548902,0.0001366233,0.000009969579,0.00004826868,0.00005117805,0.00003321539,0.02541006,0.9512275,0.02260273],"study_design_scores_gemma":[0.0004623657,0.0001150372,0.000004066052,0.000385134,0.0001022415,0.000008302237,0.00002817771,0.0007189776,0.00005236514,0.03871569,0.9591186,0.0002890321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003255191,0.0000832124,0.1984427,0.0002858285,0.0004821306,0.0007206522,0.0005197937,0.001641193,0.7978213],"genre_scores_gemma":[0.0001122425,0.0004577161,0.4250662,0.0002128703,0.001074448,1.354297e-7,0.001075475,0.01340293,0.558598],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2392233,"threshold_uncertainty_score":0.9999441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3436648922461419,"score_gpt":0.4553259771469865,"score_spread":0.1116610849008445,"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."}}