{"id":"W4398980927","doi":"10.7910/dvn/v1rjpf/fruvag","title":"snk20151220_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; 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":[0.001550801,0.003823165,0.002658487,0.005377101,0.001445221,0.005240517,0.005116721,0.004074831,0.3020793],"category_scores_gemma":[0.01064406,0.001295469,0.002117529,0.009260603,0.0009122086,0.003256583,0.004048929,0.002504543,0.360236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002376794,"about_ca_system_score_gemma":0.002960693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.031291,"about_ca_topic_score_gemma":0.0490259,"domain_scores_codex":[0.9985977,0.0002770511,0.0001433077,0.0004545725,0.0002528313,0.0002745267],"domain_scores_gemma":[0.9964011,0.001219446,0.0002968223,0.0008491895,0.0008219958,0.000411501],"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":[0.00003622642,0.000007989333,0.0001956465,0.0005914483,0.00002352465,0.000008606622,0.00001533657,0.000129673,0.00004102291,0.0003394909,0.9979399,0.0006711217],"study_design_scores_gemma":[0.0003514566,0.00002110535,0.001393378,0.0004636492,0.00004160853,0.0000372073,0.00007387161,0.0003361472,0.0002453695,0.002295122,0.9947,0.00004114367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002950449,0.0000506754,0.00003155366,0.00007066609,0.00002864414,0.000005098168,0.9988059,0.0004097603,0.0005682477],"genre_scores_gemma":[0.0002034741,0.0000603858,0.0001260331,0.00008680517,0.00001359474,0.00005109426,0.9984778,0.0002164575,0.0007644314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6979207,"threshold_uncertainty_score":0.9954991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02670983414259638,"score_gpt":0.2580382427063014,"score_spread":0.231328408563705,"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."}}