{"id":"W4398638100","doi":"10.7910/dvn/pkjufn/wal7sh","title":"FCC2001.223.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":[0.0000583453,0.0003756892,0.0004965325,0.000159523,0.00004278575,0.0000357323,0.0007093737,0.0005408474,0.009536073],"category_scores_gemma":[0.00002146954,0.0003966267,0.0001170397,0.0001848482,0.00005214117,0.0001160825,0.00009012772,0.0006605706,0.2866973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005432828,"about_ca_system_score_gemma":0.00002978817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001759245,"about_ca_topic_score_gemma":0.0002756993,"domain_scores_codex":[0.9986969,0.00001256905,0.0003578383,0.0003715035,0.0001996508,0.0003615955],"domain_scores_gemma":[0.9986105,0.00001924304,0.00005532294,0.001149584,0.00001601149,0.0001493538],"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":[0.000004818691,0.00001488783,0.000001822816,0.0004455352,0.0001131371,0.0004014023,0.000008515229,0.00004599414,0.00002895505,0.00003610712,0.9986755,0.0002233448],"study_design_scores_gemma":[0.0003406314,0.00002233295,0.00001165011,0.00007057237,0.0000967981,0.00002800891,0.00001596558,0.0000757319,0.00003419932,0.000009033919,0.9988992,0.000395934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001119108,0.000005140997,0.0001371054,0.000004285648,0.001382502,0.0002119195,0.9969813,0.0008676405,0.0003989647],"genre_scores_gemma":[0.0001436451,0.0005197706,0.0001358858,0.00009374018,0.0003340962,0.00003095675,0.9986141,0.00005904052,0.00006876131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2771612,"threshold_uncertainty_score":0.9998485,"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."}}