{"id":"W4398827045","doi":"10.7910/dvn/v1rjpf/jbau2i","title":"blc20150830_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":[0.0004848047,0.001052903,0.001071874,0.0004593112,0.0002007016,0.0003241349,0.002637981,0.0007365705,0.7683935],"category_scores_gemma":[0.00113178,0.001114886,0.0003578402,0.0006908264,0.0003051953,0.0006641916,0.002043387,0.001523732,0.999605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003555345,"about_ca_system_score_gemma":0.0005410677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006887796,"about_ca_topic_score_gemma":0.0003589314,"domain_scores_codex":[0.9950225,0.000312631,0.0007982863,0.001565397,0.001303151,0.0009980528],"domain_scores_gemma":[0.9944641,0.0001387654,0.0006395153,0.003777423,0.0001638126,0.0008163594],"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":[0.0001804604,0.0001710867,0.000002407839,0.0002651341,0.0003113849,0.001199372,0.00002293771,0.000003739151,0.0001187125,0.00003132473,0.9976239,0.00006957092],"study_design_scores_gemma":[0.001100023,0.00009258517,0.00001375049,0.0001374802,0.0006795313,0.00006839202,0.00005054303,0.00002057545,0.00004536613,0.00002054677,0.9965999,0.001171278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001736435,1.355551e-7,0.00001044486,0.000002280437,0.001424563,0.0006981684,0.9965882,0.0005285598,0.0007459297],"genre_scores_gemma":[0.000001407562,0.0002166447,0.0004254259,0.001346171,0.001345243,0.00007602318,0.9957781,0.0002690821,0.0005418852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2312116,"threshold_uncertainty_score":0.9991301,"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."}}