{"id":"W4398903066","doi":"10.7910/dvn/v1rjpf/xas8nb","title":"ykc20170102_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":"Mathematics","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":[0.00154182,0.004159642,0.002709293,0.005366438,0.001506717,0.005490462,0.005361879,0.004343205,0.3002521],"category_scores_gemma":[0.01003936,0.001318984,0.002075524,0.009525239,0.0009690671,0.003405601,0.004180278,0.002608755,0.3754017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00244443,"about_ca_system_score_gemma":0.003174243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03601708,"about_ca_topic_score_gemma":0.0503835,"domain_scores_codex":[0.9986235,0.0002786067,0.0001257334,0.0004391375,0.0002462025,0.0002869152],"domain_scores_gemma":[0.9965738,0.001060709,0.0002664839,0.0008495227,0.0008218228,0.0004276563],"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":[0.00003785249,0.00000805926,0.0001606824,0.0005271129,0.00001986462,0.00000803871,0.00001457455,0.000122565,0.00004655381,0.0003289376,0.9981311,0.000594802],"study_design_scores_gemma":[0.0003650652,0.00002040186,0.001239233,0.0004169783,0.00003441395,0.00003200961,0.00007742018,0.0003205038,0.0002626587,0.001926757,0.9952626,0.00004187992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002728308,0.00004893259,0.00002878764,0.00006879155,0.00002740264,0.000004977857,0.9988384,0.0004256747,0.0005298278],"genre_scores_gemma":[0.0001772592,0.00005482716,0.0001155244,0.00007608768,0.00001127001,0.00004447099,0.9986603,0.0002083327,0.0006519862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6997479,"threshold_uncertainty_score":0.9981055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577606824281711,"score_gpt":0.2576952913688174,"score_spread":0.2319192231260002,"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."}}