{"id":"W4398986654","doi":"10.7910/dvn/tlahpx/bqgjbg","title":"ddAle_Ott_20170705_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":[0.001308031,0.003246923,0.002193687,0.005291544,0.001265219,0.004637703,0.003849153,0.003129928,0.3158828],"category_scores_gemma":[0.009485525,0.001068279,0.001581331,0.007543891,0.0008168038,0.002636665,0.003249801,0.002019241,0.3832096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002288846,"about_ca_system_score_gemma":0.002655361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03493589,"about_ca_topic_score_gemma":0.05115642,"domain_scores_codex":[0.9987149,0.0002184689,0.0001028326,0.0004310894,0.0002486478,0.000284137],"domain_scores_gemma":[0.9968081,0.0009140322,0.0002984661,0.000809788,0.0007666436,0.0004028215],"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":[0.00002728017,0.000004938182,0.0001739684,0.0002676915,0.00001292178,0.000005640183,0.000008188437,0.00009183661,0.0000301442,0.0002781118,0.9984336,0.0006655325],"study_design_scores_gemma":[0.0002355451,0.00001686576,0.001565521,0.0003279868,0.00002582338,0.00003291921,0.00005556884,0.0003048136,0.0002312111,0.001865619,0.9953017,0.00003634866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000302615,0.0000543008,0.00002823223,0.00007939748,0.00002997151,0.000003017083,0.9987704,0.0004022797,0.0006020567],"genre_scores_gemma":[0.0002806067,0.0000662864,0.0001292371,0.0000928286,0.00002081397,0.0000344054,0.9980326,0.00022621,0.001117035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6841172,"threshold_uncertainty_score":0.9758102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564334403258753,"score_gpt":0.2532376657465936,"score_spread":0.2275943217140061,"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."}}