{"id":"W4398868508","doi":"10.7910/dvn/v1rjpf/pz2o2b","title":"iqa20150321_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":"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":[0.001681703,0.003723921,0.002581384,0.005636283,0.001539552,0.005762385,0.005309943,0.004275345,0.3116702],"category_scores_gemma":[0.01111651,0.001276916,0.002192807,0.009809312,0.0009536394,0.003505309,0.004374072,0.002714575,0.3616678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002488801,"about_ca_system_score_gemma":0.002980501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03370633,"about_ca_topic_score_gemma":0.04896988,"domain_scores_codex":[0.9985531,0.0002960093,0.0001424817,0.0004493036,0.0002602285,0.000298866],"domain_scores_gemma":[0.9962839,0.001161438,0.0003011505,0.0009139872,0.0009059868,0.0004335559],"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":[0.00003359094,0.000008527369,0.0001704521,0.0005085856,0.00002074665,0.000007332616,0.00001543359,0.0001200393,0.00003997229,0.0003688974,0.9980489,0.0006573714],"study_design_scores_gemma":[0.0003314677,0.0000208094,0.001354598,0.0004304008,0.00003503189,0.00003028402,0.00008003759,0.0003206255,0.0002334864,0.002300265,0.9948235,0.00003965618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002795924,0.00004963801,0.00003149177,0.0000811323,0.00002923115,0.000005666651,0.9986824,0.0004460728,0.0006462891],"genre_scores_gemma":[0.000214219,0.00005974602,0.0001392134,0.00009542862,0.00001466113,0.00005266964,0.9984768,0.000213822,0.0007333343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6883298,"threshold_uncertainty_score":0.9818189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626857033905793,"score_gpt":0.2574208593920178,"score_spread":0.2311522890529599,"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."}}