{"id":"W4398828189","doi":"10.7910/dvn/v1rjpf/c9qbcr","title":"blc20150415_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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00049465,0.001050835,0.001068139,0.000460095,0.0002039496,0.0003237523,0.002644607,0.0007276448,0.764455],"category_scores_gemma":[0.001124022,0.001115951,0.0003567158,0.0006886731,0.0003068786,0.0006642574,0.002050917,0.001525637,0.9995927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567832,"about_ca_system_score_gemma":0.0005364005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007178608,"about_ca_topic_score_gemma":0.0003590007,"domain_scores_codex":[0.9950168,0.0003139634,0.000798399,0.001567792,0.001303282,0.0009998262],"domain_scores_gemma":[0.9944502,0.0001414212,0.0006407414,0.003787182,0.00016394,0.0008165287],"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":[0.0001837472,0.0001638474,0.000002220231,0.0002655097,0.0003182495,0.001208176,0.00002248924,0.000003896482,0.0001062846,0.00002964365,0.9976183,0.0000776266],"study_design_scores_gemma":[0.001060581,0.00009448802,0.00001205226,0.000136815,0.0007056028,0.00007014107,0.00005278854,0.00002068462,0.00004154683,0.00002129689,0.9966135,0.001170516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001605606,1.346997e-7,0.00001127005,0.00000248571,0.001408468,0.000699819,0.9966288,0.0005233763,0.0007240755],"genre_scores_gemma":[0.000001273935,0.0002174309,0.0004561225,0.001453219,0.001387977,0.00007763087,0.9956235,0.0002652211,0.0005176539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2351377,"threshold_uncertainty_score":0.9991291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601039444890286,"score_gpt":0.256910890030131,"score_spread":0.2309004955812281,"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."}}