{"id":"W4398841548","doi":"10.7910/dvn/tlahpx/murrk0","title":"ddAle_Ott_20170828_06928500.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":[0.001245872,0.00299228,0.002185584,0.005342247,0.001232711,0.00458984,0.003787418,0.003015021,0.3369614],"category_scores_gemma":[0.009677297,0.001009054,0.001519767,0.008068137,0.000795119,0.002755532,0.003253142,0.002009609,0.3902742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275296,"about_ca_system_score_gemma":0.002690687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0371199,"about_ca_topic_score_gemma":0.05251682,"domain_scores_codex":[0.9987642,0.000200152,0.000106885,0.0004033163,0.000240462,0.0002849279],"domain_scores_gemma":[0.9968125,0.0009042898,0.0003141379,0.0007527747,0.0008179256,0.0003983538],"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":[0.00002525579,0.000004327272,0.0001572453,0.0002816258,0.00001140835,0.000005098977,0.000008007998,0.00008288341,0.00002627941,0.0002951827,0.9984615,0.0006412841],"study_design_scores_gemma":[0.0002123953,0.00001397232,0.001379956,0.0003457569,0.00002239362,0.00002727174,0.00005337893,0.0002409335,0.0001844038,0.00171382,0.995773,0.00003270843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002459161,0.0000509667,0.00002293565,0.00007340583,0.00002647696,0.000002759786,0.9988605,0.0003265179,0.0006118324],"genre_scores_gemma":[0.0002618506,0.00007063714,0.0001240247,0.00009154098,0.00002003847,0.00003487866,0.9980349,0.0002147619,0.001147464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6630386,"threshold_uncertainty_score":0.9457442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684460219276374,"score_gpt":0.2548383709752498,"score_spread":0.227993768782486,"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."}}