{"id":"W4398865867","doi":"10.7910/dvn/tlahpx/hnog9v","title":"ddAle_Ott_20170317_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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001297606,0.003015622,0.002218341,0.005509311,0.001281226,0.004817098,0.003748356,0.003028602,0.3615173],"category_scores_gemma":[0.009977859,0.001085786,0.001503231,0.008316019,0.0007805686,0.002712224,0.003300889,0.001975129,0.4108533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340671,"about_ca_system_score_gemma":0.002723927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03633181,"about_ca_topic_score_gemma":0.05145308,"domain_scores_codex":[0.9987394,0.0002128769,0.0001049168,0.0004195666,0.0002446523,0.0002786526],"domain_scores_gemma":[0.9966433,0.0009968404,0.0003213851,0.000804088,0.0008178652,0.0004164987],"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":[0.00002532144,0.000004260038,0.0001702825,0.0002793734,0.00001223876,0.000005324341,0.000008326062,0.00008091794,0.00002586155,0.0003046463,0.998408,0.0006754503],"study_design_scores_gemma":[0.0001953151,0.00001326787,0.001374727,0.0003375192,0.0000225024,0.00002717571,0.0000502428,0.000223741,0.0001845422,0.001689807,0.995849,0.00003219663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002398967,0.00005121155,0.00002514729,0.00007508703,0.00002765674,0.000002636835,0.9988342,0.0003310822,0.0006291033],"genre_scores_gemma":[0.0002782682,0.00007437109,0.0001274587,0.00009980826,0.00002141591,0.00003627441,0.9978372,0.00024159,0.001283576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6384827,"threshold_uncertainty_score":0.9107181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669819048167478,"score_gpt":0.2539672835352629,"score_spread":0.2272690930535881,"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."}}