{"id":"W4398440436","doi":"10.7910/dvn/pkjufn/supl7u","title":"FCC2002.319.ran","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":"Ran; Environmental science; Computer science; Computer network","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":[0.0004331748,0.0009742649,0.001010031,0.0002590561,0.0001969402,0.0002986526,0.002661375,0.000631023,0.237881],"category_scores_gemma":[0.001422529,0.00103678,0.0003364078,0.0006728927,0.0002561327,0.0006033041,0.001665744,0.001454511,0.9949194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003091744,"about_ca_system_score_gemma":0.0003247316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004518004,"about_ca_topic_score_gemma":0.000384257,"domain_scores_codex":[0.9950576,0.0002835474,0.0007244215,0.001480316,0.001523608,0.0009305172],"domain_scores_gemma":[0.9944373,0.0001594513,0.0005360726,0.004034827,0.0001037891,0.0007284994],"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":[0.0001970594,0.0001520429,0.000002320785,0.0002550247,0.0002586926,0.001317949,0.00002407451,0.000003712959,0.0001070512,0.00001598717,0.9975678,0.0000982388],"study_design_scores_gemma":[0.001034328,0.00008204827,0.0000119537,0.0001290466,0.0006056528,0.00005694383,0.00005670619,0.00002373775,0.0000448957,0.00001177478,0.9968675,0.001075461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000188723,7.33665e-7,0.00000836801,0.000007108822,0.001167389,0.0006166659,0.9969009,0.0004480287,0.0008489491],"genre_scores_gemma":[0.000002045263,0.0001827619,0.0003789713,0.001352515,0.001236576,0.00006088691,0.9960579,0.0002537249,0.0004745633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7570384,"threshold_uncertainty_score":0.9992083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500825657205191,"score_gpt":0.253556626914746,"score_spread":0.2285483703426941,"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."}}