{"id":"W4398950941","doi":"10.7910/dvn/v1rjpf/tec7sv","title":"ykc20151203_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; Computer science; Environmental 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":[0.001491193,0.003935996,0.002631085,0.005440617,0.00155219,0.005505482,0.005224627,0.004348602,0.3165444],"category_scores_gemma":[0.01025099,0.001304593,0.002003262,0.00954302,0.0009513856,0.003377526,0.004152271,0.00258675,0.3741534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472068,"about_ca_system_score_gemma":0.003217039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03689304,"about_ca_topic_score_gemma":0.05139226,"domain_scores_codex":[0.9986911,0.0002626023,0.0001237278,0.0004170634,0.0002299041,0.0002756412],"domain_scores_gemma":[0.9964725,0.001124949,0.0002723119,0.0008436298,0.0008541389,0.0004325561],"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":[0.00003733991,0.000008193834,0.0001710543,0.0005481917,0.0000193812,0.000008293622,0.00001532028,0.000116345,0.00004513379,0.0003450625,0.9981012,0.0005844816],"study_design_scores_gemma":[0.0003695122,0.00001970167,0.001307754,0.0004333451,0.00003398849,0.00003113345,0.00008009855,0.0003011186,0.0002462139,0.001931548,0.9952042,0.00004146128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002555725,0.00004402407,0.00002630985,0.00006717552,0.00002611554,0.000004916872,0.9989061,0.000367357,0.0005323506],"genre_scores_gemma":[0.0001780901,0.00005427366,0.0001123379,0.00007741315,0.0000113961,0.00004687735,0.9986407,0.0001981869,0.0006806533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6834556,"threshold_uncertainty_score":0.9748665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681644419336495,"score_gpt":0.2581935169848256,"score_spread":0.2313770727914606,"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."}}