{"id":"W4398565030","doi":"10.7910/dvn/pkjufn/lidg7c","title":"FCC2003.127.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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005807965,0.0003757243,0.0004967734,0.0001573784,0.00004282593,0.00003563688,0.0006974068,0.0005411513,0.01038637],"category_scores_gemma":[0.00002444805,0.0003968859,0.0001106486,0.0002039596,0.00005019767,0.0001142067,0.00008717905,0.0006591377,0.2827077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005191742,"about_ca_system_score_gemma":0.00003197082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001555635,"about_ca_topic_score_gemma":0.0002361195,"domain_scores_codex":[0.9987023,0.00001293584,0.0003577705,0.0003715156,0.0001991317,0.000356329],"domain_scores_gemma":[0.9986132,0.00001717436,0.00005536827,0.001148628,0.00001794928,0.0001476884],"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":[0.000004894427,0.00001111745,0.000002309132,0.000451977,0.0001129936,0.0003885456,0.000008662156,0.00004349157,0.0000377509,0.00004708949,0.9986767,0.0002144298],"study_design_scores_gemma":[0.0002660036,0.00002247528,0.00001204465,0.00006959317,0.00009681343,0.00002728998,0.00001594677,0.00006771768,0.00004146134,0.000008332022,0.9989763,0.0003959887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008170507,0.000005076206,0.0002076166,0.000003950517,0.001451984,0.0002157376,0.9968873,0.0008259967,0.0003942132],"genre_scores_gemma":[0.0001251434,0.0004843602,0.0001754732,0.00009697647,0.0003145497,0.00003205786,0.9986495,0.00005802211,0.00006389098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2723213,"threshold_uncertainty_score":0.9998483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068429521764004,"score_gpt":0.1944484526023185,"score_spread":0.1837641573846785,"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."}}