{"id":"W4398834485","doi":"10.7910/dvn/v1rjpf/k7jxek","title":"cbb20160227_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","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":[0.001622824,0.00372778,0.002686222,0.006081187,0.001663706,0.006099151,0.005775713,0.004315239,0.3379657],"category_scores_gemma":[0.01159553,0.001354147,0.001984924,0.01141701,0.0009787841,0.003309766,0.004489329,0.002832671,0.3974433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002725686,"about_ca_system_score_gemma":0.003403541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04632004,"about_ca_topic_score_gemma":0.06507669,"domain_scores_codex":[0.9985678,0.0002750109,0.000134075,0.0004529906,0.0002660022,0.000304122],"domain_scores_gemma":[0.9958901,0.001229066,0.0003252294,0.001002436,0.001029692,0.000523611],"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":[0.00003123107,0.000006902866,0.0001383256,0.0004628731,0.00001677909,0.00000601596,0.00001316392,0.00008602368,0.00003776744,0.0003309351,0.9983236,0.000546257],"study_design_scores_gemma":[0.0003062669,0.00001537639,0.001155099,0.0004324963,0.00002920462,0.00002434689,0.00007282384,0.0002270065,0.000202618,0.001781352,0.9957182,0.00003527123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002341475,0.00004826006,0.00002446881,0.00007617278,0.00002692232,0.00000442013,0.9988376,0.0003700732,0.0005886979],"genre_scores_gemma":[0.0001873794,0.00006003148,0.0001211868,0.00009446105,0.00001274977,0.00004737716,0.9984426,0.0002281899,0.0008061195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6620343,"threshold_uncertainty_score":0.9443116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440367398072152,"score_gpt":0.2542127377230015,"score_spread":0.22980906374228,"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."}}