{"id":"W4398900926","doi":"10.7910/dvn/tlahpx/6i98zg","title":"ddAle_Ott_20170107_10422000.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":[0.001300291,0.003147838,0.002123391,0.005062075,0.001240578,0.004440807,0.003935865,0.003117648,0.3091761],"category_scores_gemma":[0.009136985,0.001054685,0.001578168,0.007133259,0.0008094939,0.002522283,0.003186882,0.001997183,0.3680507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290394,"about_ca_system_score_gemma":0.002632321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03597777,"about_ca_topic_score_gemma":0.05324868,"domain_scores_codex":[0.9987858,0.0002083241,0.00009646021,0.0004023553,0.0002325415,0.000274537],"domain_scores_gemma":[0.9970094,0.0008431003,0.0002807131,0.0007650165,0.0007135867,0.0003881421],"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":[0.00002809431,0.000005141319,0.0001755146,0.0002676848,0.00001289086,0.000005597255,0.000008042219,0.00009346328,0.00002938699,0.0002821292,0.9984248,0.0006672208],"study_design_scores_gemma":[0.0002558419,0.00001768421,0.00158739,0.0003403915,0.00002674182,0.00003375228,0.00005635999,0.0003267609,0.0002293641,0.001863843,0.9952255,0.00003632724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003070147,0.00005238353,0.00002706382,0.00008076065,0.00002991988,0.000003135527,0.9987907,0.0003919002,0.0005935685],"genre_scores_gemma":[0.000284669,0.00006553245,0.0001294327,0.00009509897,0.00002091156,0.00003483953,0.9980518,0.0002144135,0.001103347],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6908239,"threshold_uncertainty_score":0.9853764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574829399335505,"score_gpt":0.2528094567235098,"score_spread":0.2270611627301548,"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."}}