{"id":"W4398948544","doi":"10.7910/dvn/v1rjpf/0efvvd","title":"cbb20170408_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":[0.0004768892,0.001049284,0.001068457,0.0004535233,0.0002313815,0.0003488684,0.002738892,0.0007429274,0.7301288],"category_scores_gemma":[0.001170771,0.001114753,0.0003671457,0.000616779,0.0003092209,0.0006999497,0.002069049,0.001530803,0.9997505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003489025,"about_ca_system_score_gemma":0.0005292495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007514517,"about_ca_topic_score_gemma":0.00036791,"domain_scores_codex":[0.9950696,0.0003046364,0.0007890059,0.001571533,0.001263733,0.001001558],"domain_scores_gemma":[0.9943228,0.0001398149,0.0006711947,0.003922388,0.0001545395,0.0007892321],"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":[0.000184244,0.0001592994,0.000002266774,0.0002731853,0.00030549,0.001316176,0.00002118707,0.000003401146,0.0001048582,0.00003450025,0.9975083,0.00008703692],"study_design_scores_gemma":[0.00102902,0.00009288321,0.00001331049,0.0001474056,0.000652136,0.00007410151,0.00004871071,0.00001995852,0.00004185383,0.000020986,0.9966896,0.001170101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001440287,9.359395e-8,0.00001084654,0.000002114836,0.001462024,0.0006996208,0.996403,0.0005107633,0.0009101226],"genre_scores_gemma":[0.000001255336,0.0002486699,0.0004467918,0.001308314,0.001373529,0.00008047033,0.9956793,0.0002648011,0.00059682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2696217,"threshold_uncertainty_score":0.9991302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623050817960142,"score_gpt":0.2581867601465389,"score_spread":0.2319562519669375,"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."}}