{"id":"W6977170640","doi":"10.6084/m9.figshare.4748425.v1","title":"DieselNOxEmissionsInventory.zip","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NOx; Truck; Diesel fuel; Nitrogen oxides; Ultra-low-sulfur diesel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003556523,0.001139447,0.0007638675,0.001738726,0.0004297743,0.001578504,0.001803141,0.001118195,0.05959817],"category_scores_gemma":[0.002011549,0.0004972012,0.0009401329,0.003637815,0.000227917,0.001332096,0.001123595,0.001168921,0.06967549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009515868,"about_ca_system_score_gemma":0.0009478673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060441,"about_ca_topic_score_gemma":0.03190651,"domain_scores_codex":[0.999657,0.00003827345,0.00003662674,0.0001204244,0.00007359347,0.00007406069],"domain_scores_gemma":[0.9993604,0.0001300969,0.0001114585,0.0001576259,0.0001727753,0.00006764666],"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":[0.00006520659,0.00001869779,0.002990581,0.0005089268,0.00003019972,0.00002272998,0.00001667215,0.0005785764,0.00007359548,0.0006758459,0.9920409,0.002978042],"study_design_scores_gemma":[0.000188343,0.00001979328,0.007540349,0.0003178162,0.00002048443,0.00005951792,0.00007637764,0.001171519,0.0003855774,0.001082013,0.9891094,0.000028903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001973787,0.00004356709,0.00003699346,0.00004353627,0.00001632526,0.000006026572,0.9985208,0.0002154804,0.0009198496],"genre_scores_gemma":[0.001218857,0.00008020218,0.0001454173,0.00005151628,0.000009279439,0.00003529315,0.9975025,0.00006251766,0.0008944159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9404019,"threshold_uncertainty_score":0.1993757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09607096520922569,"score_gpt":0.298285071336822,"score_spread":0.2022141061275963,"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."}}