{"id":"W4398984374","doi":"10.7910/dvn/v1rjpf/dfwqvo","title":"ykc20160926_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":[],"category_scores_codex":[0.001520041,0.003938687,0.002673232,0.005325227,0.001529086,0.005428524,0.005431593,0.004252343,0.2977408],"category_scores_gemma":[0.01020847,0.001295331,0.002101179,0.009700585,0.0009953936,0.003228392,0.004270629,0.002608319,0.3714882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421242,"about_ca_system_score_gemma":0.003258865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03743058,"about_ca_topic_score_gemma":0.05411156,"domain_scores_codex":[0.9986265,0.0002706003,0.0001302919,0.0004440905,0.0002378021,0.0002907154],"domain_scores_gemma":[0.99657,0.001025693,0.0002769631,0.000848013,0.0008524405,0.000426942],"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":[0.00003595692,0.000007814768,0.0001624406,0.0005470652,0.00002022906,0.000007635646,0.00001476936,0.0001126941,0.00004597614,0.0003212789,0.9981341,0.0005900396],"study_design_scores_gemma":[0.0003657064,0.00001953896,0.001262719,0.0004361409,0.00003611303,0.00003083604,0.00007997667,0.0002792826,0.0002497438,0.001853701,0.9953449,0.00004135017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002666896,0.00004978988,0.00002716748,0.00006837281,0.00002799346,0.000004897836,0.9989238,0.0003682913,0.0005029991],"genre_scores_gemma":[0.0001768636,0.00005921108,0.0001176587,0.0000800096,0.00001171477,0.00004729186,0.9986172,0.0001928164,0.0006973316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7022592,"threshold_uncertainty_score":0.9960423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448858850477659,"score_gpt":0.2544099149440247,"score_spread":0.2299213264392481,"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."}}