{"id":"W4398960960","doi":"10.7910/dvn/tlahpx/prgign","title":"ddAle_Ott_20170628_11107000.mat","year":2020,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science","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":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00103205,0.002489113,0.00240112,0.0006999744,0.0006478775,0.0009996208,0.005518635,0.001731205,0.1848604],"category_scores_gemma":[0.002610298,0.002906817,0.0008975735,0.001391431,0.001444822,0.002027052,0.004877916,0.003161969,0.9993992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191424,"about_ca_system_score_gemma":0.001109652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001084894,"about_ca_topic_score_gemma":0.0006743798,"domain_scores_codex":[0.9889829,0.001158,0.001839016,0.003326556,0.002203119,0.002490476],"domain_scores_gemma":[0.9876134,0.0004501633,0.001587219,0.007642072,0.0003670323,0.00234009],"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":[0.0005652612,0.0007358007,0.00003183379,0.001583623,0.001060467,0.005039383,0.0001516049,0.00003246318,0.0006418855,0.0008148071,0.9885893,0.0007535312],"study_design_scores_gemma":[0.002593214,0.000320734,0.00006187562,0.0008964516,0.002262181,0.0004000927,0.000225129,0.0004294277,0.000154765,0.00005507648,0.9897671,0.002833979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001364275,0.000009930024,0.00007571884,0.00009926127,0.006096998,0.001577358,0.9871462,0.0005749136,0.004406007],"genre_scores_gemma":[0.000009687798,0.001525641,0.002342117,0.002546696,0.00406323,0.000123654,0.981896,0.0008147392,0.006678252],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8145388,"threshold_uncertainty_score":0.999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02680761874943432,"score_gpt":0.2540542155586384,"score_spread":0.2272465968092041,"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."}}