{"id":"W4398601168","doi":"10.7910/dvn/pkjufn/ho7ram","title":"FCC2002.251.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; Environmental science; 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":[0.00005841831,0.0003700514,0.0004885965,0.0001018868,0.00004218543,0.00003553509,0.0007015514,0.0005273609,0.01018684],"category_scores_gemma":[0.00002505477,0.0003900843,0.0001157573,0.0001734864,0.00005053015,0.0001129097,0.00009017955,0.0006528857,0.2459856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005154713,"about_ca_system_score_gemma":0.00002260209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001061439,"about_ca_topic_score_gemma":0.000244583,"domain_scores_codex":[0.998675,0.0000123392,0.000353714,0.0003647302,0.0002445802,0.000349568],"domain_scores_gemma":[0.9986296,0.00002030668,0.00005446772,0.001137066,0.00001374308,0.0001448173],"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":[0.000005053813,0.00001127803,0.000002732374,0.0004464945,0.00011064,0.0003829725,0.000008559653,0.00004391468,0.00004076322,0.0000308804,0.9986167,0.0002999898],"study_design_scores_gemma":[0.0002581256,0.00002240117,0.00001374503,0.0000694245,0.00009602797,0.00002624706,0.000016069,0.00007190427,0.00004623238,0.00000728098,0.9989827,0.0003898778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009214546,0.000004552946,0.0001869108,0.000004112024,0.001306224,0.0002054164,0.9970834,0.0007828223,0.0004174096],"genre_scores_gemma":[0.0001812979,0.0004261507,0.000157903,0.00008955388,0.000323474,0.00003173814,0.9986633,0.00005735181,0.00006924682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2357987,"threshold_uncertainty_score":0.9998551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030042744879746,"score_gpt":0.1905832209160307,"score_spread":0.1802827934672333,"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."}}