{"id":"W4398904741","doi":"10.7910/dvn/v1rjpf/gtvhzo","title":"ykc20160219_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":[0.001500474,0.003791729,0.002565238,0.005219874,0.001501151,0.005367169,0.005196507,0.004153876,0.3055075],"category_scores_gemma":[0.01039414,0.001263824,0.002074929,0.009730015,0.0009456659,0.00316547,0.004214789,0.002574191,0.3677237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002394983,"about_ca_system_score_gemma":0.003268311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03853975,"about_ca_topic_score_gemma":0.05475171,"domain_scores_codex":[0.9986492,0.0002665727,0.0001304356,0.0004314799,0.0002333992,0.0002888788],"domain_scores_gemma":[0.996476,0.001078557,0.0002832405,0.0008520266,0.0008743197,0.0004359412],"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":[0.00003653559,0.00000764477,0.0001685535,0.0005547553,0.00002018153,0.000007793617,0.00001520234,0.0001118116,0.0000447573,0.0003399538,0.9981036,0.0005891029],"study_design_scores_gemma":[0.0003561715,0.00001876809,0.001289874,0.0004407835,0.00003484014,0.00002941665,0.00007872558,0.0002659316,0.0002343134,0.001840323,0.9953708,0.00004002362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002497853,0.00004405583,0.00002535479,0.00006528259,0.00002601464,0.000004629315,0.9989767,0.000337149,0.0004958867],"genre_scores_gemma":[0.0001758301,0.00005632159,0.000113648,0.00007949354,0.0000112538,0.00004659326,0.9986351,0.0001892914,0.0006924213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6944925,"threshold_uncertainty_score":0.9906093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446165015036228,"score_gpt":0.2549237102291149,"score_spread":0.2304620600787526,"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."}}