{"id":"W4398917296","doi":"10.7910/dvn/v1rjpf/oyxhlb","title":"blc20170925_03.txt.gz","year":2020,"lang":"en","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":[0.001702142,0.003787521,0.002709412,0.005736656,0.001584675,0.005684713,0.005557153,0.004353248,0.3140253],"category_scores_gemma":[0.01127602,0.001371247,0.002040852,0.01051894,0.0009848286,0.003256552,0.004183076,0.002739217,0.3842675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002670132,"about_ca_system_score_gemma":0.003280514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03887325,"about_ca_topic_score_gemma":0.05640262,"domain_scores_codex":[0.9984754,0.0003048381,0.0001379441,0.0004848154,0.0002752197,0.0003217853],"domain_scores_gemma":[0.9961179,0.001149673,0.0003223878,0.0009760545,0.0009613035,0.0004727306],"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":[0.00003243409,0.000007045423,0.0001428788,0.0004630505,0.00001875885,0.000005954687,0.00001249332,0.000100006,0.0000393273,0.000307918,0.9982966,0.0005735279],"study_design_scores_gemma":[0.0003362195,0.00001768665,0.001159798,0.0003975698,0.00003314998,0.0000263044,0.00006616489,0.0002556567,0.0002245819,0.001857916,0.9955877,0.00003729297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002389083,0.00005084472,0.00002678197,0.00007669163,0.000027705,0.000004482474,0.9988532,0.0003917011,0.0005447627],"genre_scores_gemma":[0.0001801704,0.00005875077,0.0001188608,0.00009415596,0.00001342655,0.00004614032,0.9985176,0.000210705,0.0007602143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6859747,"threshold_uncertainty_score":0.9784597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586650059411642,"score_gpt":0.2575649155214818,"score_spread":0.2316984149273653,"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."}}