{"id":"W4393630191","doi":"10.5281/zenodo.7604277","title":"Data-files-Annau-2023","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Victoria","funders":"","keywords":"Computer science; Database","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","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.01358594,0.0003146092,0.0004124548,0.001369626,0.003520275,0.007972147,0.01744596,0.0001608819,0.03231626],"category_scores_gemma":[0.02039573,0.0002834413,0.0001117762,0.003440554,0.0002983985,0.000533199,0.02933226,0.0006359734,0.5588631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264926,"about_ca_system_score_gemma":0.00001307554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568819,"about_ca_topic_score_gemma":0.00001037016,"domain_scores_codex":[0.991939,0.00100689,0.0009207539,0.002380179,0.003073264,0.0006799212],"domain_scores_gemma":[0.9899817,0.0003958646,0.0004803746,0.007810898,0.001006681,0.0003244633],"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":[0.00001392977,0.00007521414,6.792602e-8,0.00003161741,0.00004439247,0.00005139266,0.00003636843,0.00004593464,0.000003720636,0.0000890031,0.9321751,0.06743325],"study_design_scores_gemma":[0.0002070186,0.00007226073,0.00006899091,0.00004553904,0.00003295415,0.00003255761,0.0002596955,0.0009906725,8.828036e-7,0.0004214267,0.9975624,0.0003055994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001212616,0.00005153842,0.0009379877,0.0008810128,0.001897358,0.0004302996,0.9801486,0.0008655732,0.01477548],"genre_scores_gemma":[0.00002549466,0.00009600221,0.00009934489,0.0001829279,0.0005230515,3.075339e-8,0.9855947,0.0008330519,0.01264536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5265469,"threshold_uncertainty_score":0.9999618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3152573172312619,"score_gpt":0.3949850451518419,"score_spread":0.07972772792058003,"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."}}