{"id":"W6968880016","doi":"10.5281/zenodo.6264722","title":"Training for Reproducibility","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reproducibility; Training (meteorology); Reliability (semiconductor); MEDLINE","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00552032,0.00008045191,0.0001102154,0.0001073962,0.00377005,0.0004970061,0.001040411,0.00001945517,0.0196579],"category_scores_gemma":[0.001691308,0.00008464337,0.00003993812,0.0003690101,0.0001125441,0.0001649987,0.001245876,0.0001426627,0.0008635215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765958,"about_ca_system_score_gemma":0.00000749142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001693632,"about_ca_topic_score_gemma":8.645773e-8,"domain_scores_codex":[0.9979568,0.0002815828,0.0001822745,0.0007069776,0.0004238919,0.0004484597],"domain_scores_gemma":[0.9988871,0.00003344856,0.00004998784,0.0006879407,0.000208574,0.0001329752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001088626,0.00009872539,6.517165e-7,0.00006550255,0.000005873005,0.000004430378,0.002330165,0.001560666,0.8782687,0.005209069,0.04398984,0.06835751],"study_design_scores_gemma":[0.0002296277,0.0002775922,0.00007943071,0.00000449007,0.000003003174,0.00005224132,0.0006242385,0.0005804307,0.01548392,0.0005247776,0.9820192,0.0001210102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9004223,0.000111352,0.02116844,0.002563938,0.001246594,0.001818162,0.001283407,0.002950329,0.0684355],"genre_scores_gemma":[0.9971138,0.000005011124,0.001050159,0.00005647487,0.0001588717,4.842094e-7,0.0003120017,0.000463533,0.0008396131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9380294,"threshold_uncertainty_score":0.9999144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08659839499129969,"score_gpt":0.2889977856469309,"score_spread":0.2023993906556312,"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."}}