{"id":"W4398814132","doi":"10.7910/dvn/v1rjpf/qhqjcc","title":"cbb20150617_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; Computer science; Environmental 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":[0.001605223,0.003830675,0.00271349,0.006027922,0.001666098,0.006111985,0.005614614,0.004348984,0.3518091],"category_scores_gemma":[0.01097543,0.00137633,0.001879569,0.01107241,0.0009710634,0.003479265,0.004449664,0.002758525,0.4206622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002679029,"about_ca_system_score_gemma":0.003253184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04149821,"about_ca_topic_score_gemma":0.05715778,"domain_scores_codex":[0.9986242,0.0002655126,0.0001251404,0.0004364981,0.0002585589,0.0002900993],"domain_scores_gemma":[0.9960549,0.001176204,0.0003014754,0.0009765215,0.0009811412,0.0005097521],"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":[0.00003325097,0.000007212055,0.0001355559,0.0004396071,0.00001562102,0.000006149502,0.0000128655,0.00008637674,0.00003880294,0.0003310439,0.9983433,0.0005501636],"study_design_scores_gemma":[0.0003112365,0.00001634666,0.001116474,0.0003973934,0.00002662297,0.00002423259,0.00006908584,0.0002408069,0.000216721,0.001811608,0.9957342,0.00003529754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002432404,0.00004656173,0.00002638788,0.00007598012,0.00002703252,0.000004787066,0.9987333,0.0004243713,0.0006371512],"genre_scores_gemma":[0.0001920654,0.00005728921,0.0001203451,0.00009264056,0.00001286083,0.00004811164,0.9983931,0.000252841,0.000830821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6481909,"threshold_uncertainty_score":0.9245656,"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."}}