{"id":"W4398830469","doi":"10.7910/dvn/v1rjpf/kc9ni9","title":"cbb20151019_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":[0.0005109211,0.001043684,0.001066228,0.0004477873,0.0002091506,0.0003237437,0.002597331,0.0007393608,0.6698464],"category_scores_gemma":[0.001268475,0.001108119,0.0003545247,0.000696294,0.0002914451,0.0006909959,0.002080818,0.001547305,0.9997289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003659529,"about_ca_system_score_gemma":0.0005522977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007683195,"about_ca_topic_score_gemma":0.0003311653,"domain_scores_codex":[0.9950041,0.0003154985,0.0008188986,0.001561723,0.001292457,0.001007286],"domain_scores_gemma":[0.9945386,0.0001485711,0.0006728484,0.003687121,0.000166422,0.0007864393],"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":[0.0001730778,0.0001566386,0.00000241708,0.0002792593,0.0002968529,0.001149219,0.00002289056,0.000003896603,0.00009771742,0.00003239592,0.9977024,0.00008325947],"study_design_scores_gemma":[0.001032596,0.00009427025,0.00001099516,0.0001419985,0.0006246681,0.00006950176,0.00006248567,0.00002401743,0.00003828436,0.00002030752,0.9967192,0.001161635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001512952,1.034483e-7,0.00001052519,0.000002295974,0.001351406,0.0007012464,0.9965659,0.0005210295,0.0008459289],"genre_scores_gemma":[0.000001183408,0.00019121,0.0004908178,0.001369806,0.001398924,0.00007682198,0.9956565,0.000269133,0.0005455439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3298825,"threshold_uncertainty_score":0.9991369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605064517324043,"score_gpt":0.2574755313436283,"score_spread":0.2314248861703878,"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."}}