{"id":"W4398581738","doi":"10.7910/dvn/pkjufn/mmlsb1","title":"FCC2001.354.ran","year":2020,"lang":"ru","type":"dataset","venue":"Harvard Dataverse","topic":"Transport Systems and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; 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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001998677,0.001007913,0.001312379,0.0003671946,0.0001646797,0.0001273384,0.001719946,0.001379531,0.04503437],"category_scores_gemma":[0.0001010288,0.001130447,0.0003488077,0.0005231792,0.0001793881,0.0003341959,0.0003547548,0.001718393,0.7106717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700497,"about_ca_system_score_gemma":0.0001182713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007349555,"about_ca_topic_score_gemma":0.0005029707,"domain_scores_codex":[0.9962544,0.00005763493,0.001047103,0.001129444,0.000505313,0.001006088],"domain_scores_gemma":[0.9964506,0.00007536224,0.0002391933,0.00270816,0.00005523074,0.0004714422],"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":[0.0000411636,0.00007383488,0.00003421014,0.00150132,0.0004744122,0.001800255,0.00007725318,0.0001269237,0.0002250678,0.0005114767,0.9944416,0.0006924387],"study_design_scores_gemma":[0.001007271,0.0001156159,0.00009365382,0.000366573,0.0004411729,0.000100795,0.0001367241,0.0002970665,0.00009768033,0.00002293588,0.9962442,0.001076348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000858537,0.00001442469,0.0007228586,0.00002623225,0.003260323,0.0006370085,0.9932925,0.0009480983,0.0010127],"genre_scores_gemma":[0.002693232,0.001565963,0.0006070881,0.0002229778,0.0009556208,0.00006141122,0.993392,0.0001770625,0.0003246609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6656373,"threshold_uncertainty_score":0.9999169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207187629232613,"score_gpt":0.2014781455471561,"score_spread":0.18940626925483,"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."}}