{"id":"W4393690910","doi":"10.5281/zenodo.7293120","title":"OMPS-NPP L2 LP USask Aerosol Extinction Vertical Profile swath daily V1.2","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Aerosol; Extinction (optical mineralogy); Environmental science; Atmospheric sciences; Remote sensing; Meteorology; Geography; Geology; Mineralogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006374315,0.002316721,0.001204138,0.002374964,0.0006347434,0.001259796,0.002831808,0.001562531,0.02260906],"category_scores_gemma":[0.001407556,0.0007448675,0.001140642,0.00437807,0.0003804498,0.001162436,0.001239899,0.00132883,0.04361001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255196,"about_ca_system_score_gemma":0.001528203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03229275,"about_ca_topic_score_gemma":0.03898883,"domain_scores_codex":[0.9994098,0.0000583756,0.00005724925,0.0001892526,0.0001718646,0.0001133377],"domain_scores_gemma":[0.9992836,0.00008749717,0.00008584379,0.0002355533,0.0002314818,0.00007597719],"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":[0.0001457404,0.00006256092,0.002357586,0.0006076206,0.00007935928,0.00008412289,0.00003913865,0.00194984,0.0008734389,0.0005139924,0.9887827,0.004503925],"study_design_scores_gemma":[0.0005310508,0.00004389593,0.01398205,0.0001718808,0.000045559,0.0001276472,0.0001278245,0.00353405,0.002363743,0.001133494,0.9778748,0.00006384791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004137689,0.0000164463,0.0001083572,0.00001995885,0.00001033522,0.00001371824,0.9983694,0.0006468658,0.0004012148],"genre_scores_gemma":[0.0004447911,0.00001153876,0.0002517449,0.00001010193,0.000002518563,0.00003078361,0.9989675,0.00006221509,0.0002187108],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03229275,"threshold_uncertainty_score":0.07563484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284826117971538,"score_gpt":0.2290591156295053,"score_spread":0.2062108544497899,"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."}}