{"id":"W4398894805","doi":"10.7910/dvn/tlahpx/iudogy","title":"ddAle_Ott_20170130_14364400.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":[0.001263153,0.003312618,0.002233585,0.005004777,0.001291969,0.004591396,0.004109959,0.0032843,0.3303341],"category_scores_gemma":[0.009188092,0.001073516,0.00157318,0.006977226,0.0008287963,0.002618276,0.003201938,0.002075286,0.4181939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330776,"about_ca_system_score_gemma":0.002650617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03635089,"about_ca_topic_score_gemma":0.05518819,"domain_scores_codex":[0.9987648,0.000209785,0.00009606573,0.0004189459,0.0002390272,0.0002713538],"domain_scores_gemma":[0.9970318,0.0008558327,0.0002625882,0.0007469577,0.0007159989,0.0003868218],"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":[0.0000269994,0.000004907086,0.0001496507,0.0002577005,0.00001139696,0.000005356841,0.000007606929,0.00008538223,0.00002790059,0.0002368011,0.9985329,0.0006533476],"study_design_scores_gemma":[0.0002453483,0.00001758682,0.001419125,0.00032863,0.00002559084,0.00003397051,0.00005454783,0.0003253988,0.0002322207,0.001816383,0.9954656,0.00003561067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003101592,0.00005694415,0.00002882412,0.00008134369,0.00003152036,0.000003312358,0.998681,0.0004377235,0.0006483164],"genre_scores_gemma":[0.0002681486,0.00006492378,0.0001278372,0.00009354252,0.00002063273,0.00003449928,0.9979483,0.0002294619,0.001212587],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6696659,"threshold_uncertainty_score":0.9551972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671377770391979,"score_gpt":0.2542275111350453,"score_spread":0.2275137334311255,"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."}}