{"id":"W3095369432","doi":"","title":"Atmospheric Impacts of Emissions from the Unconventional Oil and Gas Sector I","year":2017,"lang":"en","type":"article","venue":"2017 AGU Fall Meeting","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Unconventional oil; Environmental science; Fossil fuel; Greenhouse gas; Natural resource economics; Economics; Geology; Waste management; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002070159,0.0001351092,0.0001388373,5.408153e-7,0.0006510333,0.00005539792,0.0004165345,0.00006276331,0.0003216106],"category_scores_gemma":[0.0001356241,0.00009443512,0.0000613283,0.00002225732,0.0004795547,0.0001802418,0.0005084178,0.0001150717,0.00005610503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006341737,"about_ca_system_score_gemma":0.000008200546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0161045,"about_ca_topic_score_gemma":0.001383858,"domain_scores_codex":[0.9990776,0.00003489646,0.0001806415,0.0002415512,0.0002465657,0.0002187042],"domain_scores_gemma":[0.9990411,0.00009770957,0.0002803841,0.0004609269,0.000002901974,0.0001169518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001101441,0.00003152179,0.9714617,0.000004200084,0.00001877907,0.000003932846,0.0003311613,0.001458065,0.003955272,0.00001311597,0.0006182226,0.02209307],"study_design_scores_gemma":[0.0003416768,0.00002846512,0.9815655,0.00007907551,0.00003125111,0.000005979493,0.0003210035,0.0136281,0.0001107672,0.0005788308,0.003143883,0.0001654122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839457,0.0001787376,0.0001609371,0.0005015553,0.0001232424,0.00003699028,0.000007494594,0.00001284501,0.01503246],"genre_scores_gemma":[0.987259,0.0003200095,0.01061575,0.0001026743,0.00006822943,0.000004672304,0.000003900121,0.00001482442,0.001610946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02192766,"threshold_uncertainty_score":0.9904473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227565981872476,"score_gpt":0.2250774648790821,"score_spread":0.2128018050603574,"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."}}