{"id":"W4398858741","doi":"10.7910/dvn/tlahpx/nmecjv","title":"ddAle_Ott_20170702_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":[0.001298265,0.003275048,0.002208565,0.005269861,0.001277903,0.004648859,0.003923879,0.003139675,0.3134685],"category_scores_gemma":[0.009341582,0.001068095,0.001599554,0.007488891,0.0008205011,0.002659838,0.003308472,0.002030795,0.384943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293897,"about_ca_system_score_gemma":0.002652397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03504027,"about_ca_topic_score_gemma":0.05143115,"domain_scores_codex":[0.9987206,0.00021682,0.0001010627,0.0004310214,0.0002461666,0.0002842768],"domain_scores_gemma":[0.9968895,0.0008712405,0.000289456,0.0007981479,0.0007512285,0.0004004207],"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":[0.00002686085,0.000004917107,0.0001712581,0.0002640199,0.00001275881,0.000005575607,0.00000812915,0.00009067118,0.00003035512,0.0002770807,0.9984387,0.0006697636],"study_design_scores_gemma":[0.0002312613,0.00001685098,0.001534344,0.0003242183,0.00002584429,0.00003299028,0.00005544663,0.0003049393,0.0002322098,0.00186567,0.9953401,0.0000362011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003042439,0.00005471926,0.00002869118,0.00007993956,0.00003059174,0.000003075422,0.9987426,0.0004155324,0.0006143736],"genre_scores_gemma":[0.0002763315,0.00006560038,0.0001291638,0.00009319018,0.00002064412,0.00003408896,0.9980453,0.0002245816,0.001110942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6865314,"threshold_uncertainty_score":0.9792538,"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."}}