{"id":"W4398930514","doi":"10.7910/dvn/tlahpx/oi6ahs","title":"ddAle_Ott_20170502_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":[0.00122826,0.002956065,0.002199056,0.005508103,0.001243735,0.004702343,0.003724447,0.00294563,0.3425357],"category_scores_gemma":[0.009693836,0.001006406,0.001502748,0.008443602,0.0007846431,0.00277053,0.003256397,0.001982521,0.3917715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002312526,"about_ca_system_score_gemma":0.002753085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03806813,"about_ca_topic_score_gemma":0.05301363,"domain_scores_codex":[0.9987528,0.0001988891,0.0001096801,0.0004082264,0.0002440159,0.0002862963],"domain_scores_gemma":[0.9967518,0.0009176855,0.0003277793,0.0007567164,0.0008479381,0.000398092],"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":[0.0000248493,0.000004121553,0.0001562826,0.0002808198,0.00001138094,0.000005109441,0.000007990121,0.00007913186,0.00002609203,0.0003000637,0.998464,0.0006401453],"study_design_scores_gemma":[0.0002004835,0.00001308015,0.001359844,0.0003387459,0.00002208024,0.0000260309,0.00005192944,0.0002175788,0.0001795596,0.001668453,0.9958903,0.00003204529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002352552,0.00005036206,0.0000223917,0.00007075694,0.00002612986,0.000002682632,0.99887,0.0003157891,0.0006183001],"genre_scores_gemma":[0.0002597865,0.00007156436,0.0001214681,0.00009032299,0.00002020731,0.00003500985,0.9979984,0.0002164815,0.001186639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6574643,"threshold_uncertainty_score":0.9377931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679052972529524,"score_gpt":0.2547967386333941,"score_spread":0.2280062089080989,"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."}}