{"id":"W4398886086","doi":"10.7910/dvn/v1rjpf/hqpfls","title":"cbb20150510_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":"Mathematics","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":[0.0004772946,0.0010516,0.001070986,0.0004597089,0.0002021383,0.0003255343,0.002619283,0.0007368528,0.693612],"category_scores_gemma":[0.001132157,0.001112978,0.000356621,0.0006909703,0.0002937089,0.0006726341,0.002039701,0.001523317,0.9997053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003651661,"about_ca_system_score_gemma":0.0005394871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008110968,"about_ca_topic_score_gemma":0.0003694204,"domain_scores_codex":[0.9950299,0.0003135565,0.0007987377,0.001560426,0.001300052,0.0009973607],"domain_scores_gemma":[0.9944841,0.0001401137,0.0006398748,0.003757229,0.0001630905,0.0008156001],"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":[0.0001852928,0.0001617897,0.000002569038,0.0002677327,0.0003016735,0.001219143,0.00002127767,0.000003981911,0.0001089917,0.00003172987,0.9976257,0.00007012013],"study_design_scores_gemma":[0.001053876,0.00009433681,0.00001311698,0.0001394847,0.000642515,0.00006868637,0.00005573053,0.00002121977,0.00003962455,0.00002189762,0.99668,0.001169508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001507432,1.076229e-7,0.00001196497,0.000002128339,0.00142494,0.0006984985,0.9964686,0.0005181911,0.0008740571],"genre_scores_gemma":[0.000001417779,0.0002153323,0.0004749597,0.001320077,0.001341057,0.00007788755,0.9958096,0.0002697899,0.0004898914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3060932,"threshold_uncertainty_score":0.999132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633682481075176,"score_gpt":0.2574856251301236,"score_spread":0.2311488003193719,"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."}}