{"id":"W4398853634","doi":"10.7910/dvn/v1rjpf/e8sh1e","title":"cbb20150513_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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001651314,0.003860476,0.002722295,0.006037421,0.001684585,0.006238612,0.005746859,0.004328036,0.3430549],"category_scores_gemma":[0.01097233,0.001392094,0.001942736,0.0111831,0.0009959831,0.003554201,0.004611673,0.002756437,0.4076781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002759195,"about_ca_system_score_gemma":0.003273434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04416769,"about_ca_topic_score_gemma":0.05961345,"domain_scores_codex":[0.9985865,0.0002687106,0.0001276488,0.0004465148,0.0002684171,0.0003022751],"domain_scores_gemma":[0.9960555,0.001143296,0.0003030726,0.0009968368,0.0009932376,0.0005080625],"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":[0.00003351081,0.000007049237,0.0001409352,0.0004300395,0.00001623083,0.00000620923,0.00001344471,0.00009076628,0.00003900891,0.0003486803,0.9983198,0.0005542297],"study_design_scores_gemma":[0.0002994894,0.00001578095,0.001148141,0.0003965715,0.00002671904,0.0000245788,0.00007272166,0.000246349,0.0002185735,0.001873328,0.9956421,0.00003566366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002410072,0.00004521032,0.00002617716,0.00007590064,0.00002696233,0.000004638348,0.9987282,0.0004279956,0.0006408296],"genre_scores_gemma":[0.0001890131,0.00005455747,0.0001178204,0.00008947199,0.00001248984,0.00004507867,0.9984617,0.0002483423,0.0007815433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6569451,"threshold_uncertainty_score":0.9370524,"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."}}