{"id":"W4394501563","doi":"10.6084/m9.figshare.22581739","title":"Estimated code","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Code (set theory); Computer science; Programming language","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006216321,0.0001743436,0.0001555115,0.0001388105,0.00009490257,0.0003027757,0.001948447,0.0001933822,0.01661838],"category_scores_gemma":[0.001878464,0.0001665009,0.00004746838,0.0004181624,0.000002562557,0.0001596084,0.0006749515,0.0003972691,0.2392091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002688119,"about_ca_system_score_gemma":0.000108393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006664374,"about_ca_topic_score_gemma":0.00004871088,"domain_scores_codex":[0.9988337,0.00005349029,0.0001645346,0.0004737775,0.0002647543,0.0002098127],"domain_scores_gemma":[0.9981907,0.0001740907,0.0001686379,0.001323082,0.00006531065,0.00007818468],"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":[2.929607e-7,0.000008214161,1.709984e-7,0.0001301254,0.000005629295,0.00002699916,0.000002338337,0.00001666499,2.033031e-7,0.000008609857,0.997665,0.002135701],"study_design_scores_gemma":[0.00004667237,0.00001266244,0.0003118005,0.0007614918,0.00000339663,0.000005963816,3.192914e-7,0.009934328,0.000001484525,0.00002045938,0.9887141,0.0001873231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[7.18606e-9,0.00005521667,0.00004802169,0.0002462037,0.000185632,0.00009617727,0.9985766,0.0006592785,0.0001328616],"genre_scores_gemma":[2.220278e-7,0.000009754364,0.0003808522,0.0001677819,0.0001137811,0.0001177576,0.998687,0.00001334459,0.0005095067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2225908,"threshold_uncertainty_score":0.9842806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052376324389803,"score_gpt":0.3419248561579997,"score_spread":0.2366872237190195,"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."}}