{"id":"W4398870130","doi":"10.7910/dvn/v1rjpf/zhwna2","title":"cbb20150813_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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001708072,0.003840737,0.00264591,0.006171082,0.001656125,0.006195077,0.005581444,0.004323027,0.3356636],"category_scores_gemma":[0.0114058,0.001374271,0.001965682,0.01113199,0.0009843123,0.003500676,0.004562656,0.002806692,0.3994148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002747178,"about_ca_system_score_gemma":0.003284883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04392249,"about_ca_topic_score_gemma":0.06047098,"domain_scores_codex":[0.998555,0.0002847699,0.0001328096,0.0004457055,0.0002792987,0.0003024507],"domain_scores_gemma":[0.9958907,0.001212381,0.0003098578,0.001034405,0.001034688,0.0005179362],"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":[0.00003200084,0.000007070566,0.0001381519,0.0004314702,0.00001601142,0.000006133676,0.00001327139,0.0000903362,0.00003803494,0.0003469794,0.9983215,0.0005589571],"study_design_scores_gemma":[0.0002888154,0.00001557498,0.001114786,0.0004033646,0.00002588671,0.00002451678,0.00007299139,0.000246147,0.0002108554,0.001842133,0.9957199,0.00003496478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000239299,0.00004546024,0.00002670202,0.00007827799,0.00002793559,0.000004630263,0.9987392,0.0004266253,0.0006272125],"genre_scores_gemma":[0.0001882449,0.00005529364,0.0001224199,0.00008863403,0.00001247959,0.00004540529,0.9984601,0.0002475328,0.0007798984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6643364,"threshold_uncertainty_score":0.9475952,"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."}}