{"id":"W4399016413","doi":"10.7910/dvn/v1rjpf/nvqqqo","title":"ykc20171014_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":[0.001560087,0.003699844,0.002631909,0.005526145,0.001444109,0.00547788,0.005060745,0.004148859,0.3229223],"category_scores_gemma":[0.01080476,0.001286008,0.002020615,0.0101157,0.0009163534,0.003300781,0.004205522,0.002506218,0.3684326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002453426,"about_ca_system_score_gemma":0.003262947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03863235,"about_ca_topic_score_gemma":0.05376947,"domain_scores_codex":[0.998642,0.0002756928,0.0001305031,0.0004223131,0.0002419027,0.0002875917],"domain_scores_gemma":[0.9963098,0.00115822,0.0003084883,0.000860541,0.0009110512,0.0004519314],"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":[0.00003852413,0.000007080156,0.0001760146,0.000569712,0.00002019493,0.000007688376,0.00001485162,0.0001139921,0.00004108016,0.0003741955,0.9980429,0.0005936733],"study_design_scores_gemma":[0.0003452619,0.0000176035,0.001264926,0.0004664115,0.00003349281,0.00002795271,0.00007425448,0.0002551562,0.000209385,0.001868575,0.9953981,0.0000389521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002200588,0.0000439689,0.00002410179,0.00006573476,0.00002443632,0.000004347867,0.998984,0.0003195062,0.0005118547],"genre_scores_gemma":[0.0001743622,0.00005948452,0.0001110235,0.00008278804,0.00001187999,0.00004546024,0.998604,0.0002009777,0.0007100631],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6770778,"threshold_uncertainty_score":0.9657692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595440812788692,"score_gpt":0.2574409814768713,"score_spread":0.2314865733489844,"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."}}