{"id":"W4398974398","doi":"10.7910/dvn/v1rjpf/pjldjk","title":"cbb20161030_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":[0.001635682,0.003632245,0.002680785,0.006291073,0.001638223,0.006337648,0.005536979,0.004185442,0.3533845],"category_scores_gemma":[0.01211445,0.001362246,0.001960687,0.01217556,0.0009520045,0.003371991,0.004573224,0.00277255,0.4016245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002750798,"about_ca_system_score_gemma":0.003534539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0478916,"about_ca_topic_score_gemma":0.06492179,"domain_scores_codex":[0.9985591,0.0002754728,0.0001400764,0.0004508064,0.0002698434,0.0003047128],"domain_scores_gemma":[0.9955765,0.001328853,0.000356476,0.001050796,0.001134118,0.0005531694],"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":[0.0000326468,0.000006501486,0.0001403771,0.0005093827,0.00001723707,0.000006066897,0.00001377088,0.00008131063,0.00003845901,0.0003520549,0.9982446,0.0005574893],"study_design_scores_gemma":[0.0002875342,0.0000143642,0.001118422,0.0004499724,0.00002844941,0.00002227237,0.00007191899,0.0001951774,0.00019142,0.001710886,0.9958757,0.00003391428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002048007,0.00004580213,0.00002257363,0.00007249054,0.00002575547,0.000004200208,0.9988893,0.0003359815,0.0005834784],"genre_scores_gemma":[0.0001829152,0.00006248736,0.0001197354,0.00009758503,0.00001286332,0.00004800951,0.9983968,0.0002381711,0.0008414421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6466155,"threshold_uncertainty_score":0.9223186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490838072913501,"score_gpt":0.255024413271396,"score_spread":0.230116032542261,"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."}}