{"id":"W6944087166","doi":"10.18164/4eb450cf-f46b-46e5-b3e9-f6c5ef349a90","title":"Remote Sensing and Modelling, Ground-based Aerosol Vertical Profile, Oil Sands Region","year":2013,"lang":"en","type":"dataset","venue":"ECCC Data Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Quebec; Government of Canada; Environment and Climate Change Canada","funders":"","keywords":"Lidar; Backscatter (email); Aerosol; Atmosphere (unit); Atmospheric optics; Oil sands; Particle (ecology); Planetary boundary layer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001709111,0.000602355,0.0002898092,0.0006935176,0.000298907,0.0009720775,0.0006360366,0.0006407913,0.00125324],"category_scores_gemma":[0.0003048373,0.0002441648,0.0004805603,0.001711937,0.0001944092,0.000601283,0.0002974618,0.0005168057,0.000933244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008516659,"about_ca_system_score_gemma":0.0008252166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1249571,"about_ca_topic_score_gemma":0.05724384,"domain_scores_codex":[0.9999095,0.00001315788,0.000006377252,0.00002203576,0.00003497762,0.00001397518],"domain_scores_gemma":[0.999935,0.00001129771,0.00001188117,0.000009152613,0.00002450006,0.000008029941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008054906,0.0001825821,0.02537855,0.0002973101,0.00009260915,0.0003819962,0.00009042816,0.9125134,0.0106005,0.005775523,0.007992958,0.03661353],"study_design_scores_gemma":[0.00002762664,0.00002099376,0.01272119,0.00003821263,0.00002562098,0.00007109417,0.0001151446,0.9733988,0.001764272,0.002612327,0.009170639,0.00003404467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7789385,0.00489678,0.1101201,0.001330021,0.0003598877,0.0003960564,0.04973033,0.003144898,0.05108333],"genre_scores_gemma":[0.9519483,0.001666166,0.02886475,0.00006160334,0.00005390996,0.00009153024,0.01011293,0.0001971918,0.007003639],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8750429,"threshold_uncertainty_score":0.2484595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07400564860056894,"score_gpt":0.2792301062901428,"score_spread":0.2052244576895739,"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."}}