{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006026289,0.0003755846,0.0004967984,0.000159358,0.00004305365,0.00003579143,0.0007098661,0.0005403724,0.01094542],"category_scores_gemma":[0.00002259164,0.0003928477,0.0001168952,0.0001845008,0.0000523584,0.0001155494,0.00009006891,0.0006593668,0.298646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005335026,"about_ca_system_score_gemma":0.00002946985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001640594,"about_ca_topic_score_gemma":0.0002556702,"domain_scores_codex":[0.9986906,0.00001275611,0.0003592957,0.0003719609,0.0002038894,0.0003614755],"domain_scores_gemma":[0.9986057,0.00001907273,0.00005555662,0.001154046,0.00001640868,0.0001492225],"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":[0.000005166096,0.00001137325,0.000002484591,0.0004612345,0.0001133551,0.0003924026,0.000008768243,0.00005375359,0.00003749148,0.00003380448,0.9986405,0.000239619],"study_design_scores_gemma":[0.0002737853,0.00002240128,0.00001308568,0.00007109344,0.00009994078,0.00002811026,0.00001583084,0.0000736436,0.00003527939,0.000009067748,0.9989611,0.000396658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008797286,0.000005288977,0.0001664969,0.000004531961,0.001396892,0.0002156506,0.996951,0.0008599542,0.0003914162],"genre_scores_gemma":[0.0001325707,0.0005396508,0.0001532263,0.00009410237,0.0003288347,0.00003162634,0.9985936,0.00005893027,0.00006747105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2877006,"threshold_uncertainty_score":0.9998524,"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."}}