{"id":"W4398798233","doi":"10.7910/dvn/tlahpx/b6ocal","title":"ddAle_Ott_20170728_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":[0.001318851,0.003311168,0.002228045,0.005175965,0.001285066,0.004570316,0.003985203,0.003240434,0.3080812],"category_scores_gemma":[0.009352439,0.001074211,0.001602565,0.007278014,0.0008356558,0.002619371,0.003275902,0.002045355,0.3828267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002269938,"about_ca_system_score_gemma":0.002601251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03338794,"about_ca_topic_score_gemma":0.04939841,"domain_scores_codex":[0.9987178,0.0002223128,0.0001004985,0.0004322651,0.000245708,0.0002814876],"domain_scores_gemma":[0.9969237,0.0008850268,0.0002807851,0.0007899996,0.0007240151,0.0003964389],"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":[0.00002822514,0.000005305446,0.0001734854,0.0002772062,0.00001317116,0.000005807187,0.000008335103,0.00009549652,0.00003177426,0.0002740065,0.9984043,0.0006827866],"study_design_scores_gemma":[0.0002507884,0.00001820101,0.001560632,0.0003329283,0.00002665796,0.00003523011,0.00005687568,0.0003322191,0.0002427259,0.00190112,0.9952053,0.00003727918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003243519,0.00005826924,0.00002990085,0.00008268551,0.00003084942,0.00000322817,0.9987265,0.000430434,0.0006057203],"genre_scores_gemma":[0.0002819756,0.00006707076,0.0001338864,0.00009488425,0.00002058562,0.00003493467,0.9980667,0.0002228854,0.00107706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6919187,"threshold_uncertainty_score":0.9869381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559877100841625,"score_gpt":0.2532027502600344,"score_spread":0.2276039792516181,"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."}}