{"id":"W4398556826","doi":"10.7910/dvn/pkjufn/uxybhp","title":"FCC2001.248.ran","year":2020,"lang":"en","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001123418,0.003674109,0.001807756,0.004107824,0.001220706,0.003508691,0.003938268,0.003151247,0.1016524],"category_scores_gemma":[0.005034689,0.0009056687,0.001656836,0.006450159,0.0006327988,0.001996316,0.002278885,0.002018643,0.2050232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175604,"about_ca_system_score_gemma":0.002157778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03432838,"about_ca_topic_score_gemma":0.05231854,"domain_scores_codex":[0.9987952,0.0002069977,0.000114395,0.0003829346,0.0002407324,0.0002596866],"domain_scores_gemma":[0.9980001,0.0003722757,0.0001529482,0.0006937581,0.0005247735,0.0002561105],"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":[0.00004153365,0.00001505121,0.0002015129,0.0002279172,0.00001581582,0.000009417471,0.000007827898,0.0001851519,0.00005885959,0.0002469414,0.9981381,0.0008517784],"study_design_scores_gemma":[0.0003571724,0.00003529784,0.002557817,0.0002848979,0.00003334718,0.000061557,0.0000800351,0.0009892781,0.0004584625,0.001496933,0.9936035,0.00004159578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008310154,0.00004739587,0.00003951743,0.00004738724,0.00003522276,0.000005554109,0.9983959,0.000571154,0.0007748162],"genre_scores_gemma":[0.0002340427,0.00002814238,0.0001044573,0.00003299847,0.000007685567,0.00001967255,0.9990548,0.00007492778,0.0004431467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8983476,"threshold_uncertainty_score":0.3400611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028644552546442,"score_gpt":0.1922603851564491,"score_spread":0.1819739396309847,"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."}}