{"id":"W2522736030","doi":"","title":"Quantifying Sources of Methane in the Alberta Oil Sands","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Oil sands; Methane; Environmental science; Geology; Petroleum engineering; Hydrology (agriculture); Geography; Archaeology; Geotechnical engineering; Asphalt; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102319,0.0001102216,0.0002099431,0.0001393781,0.00001997044,0.00002718638,0.0002412441,0.00006221079,0.000004134881],"category_scores_gemma":[0.0002774142,0.00007740733,0.00006700385,0.0004107201,0.00002358451,0.0001021116,0.00002862614,0.0001427059,0.00002747788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002109572,"about_ca_system_score_gemma":0.00001719299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004321947,"about_ca_topic_score_gemma":0.02048656,"domain_scores_codex":[0.9990045,0.0001137228,0.0003030651,0.0001095659,0.0002763609,0.0001927523],"domain_scores_gemma":[0.9994664,0.0001613783,0.00005415221,0.0002131944,0.00004295075,0.00006197656],"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":[0.00002854338,0.00009311353,0.1249178,0.0002745447,0.0002212627,0.00002352797,0.04979745,0.8078802,0.008965618,0.0003916719,0.003453624,0.003952674],"study_design_scores_gemma":[0.001751365,0.0000724081,0.001202883,0.0003504459,0.0001427354,0.00001617713,0.02819208,0.9310812,0.01201605,0.0001979568,0.02427773,0.0006989185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554189,0.001395356,0.0001482558,0.0003235722,0.0001053815,0.00003153292,7.297653e-7,0.00004675832,0.04252955],"genre_scores_gemma":[0.9992848,0.00007484895,0.0002752802,0.00004134947,0.00007060199,0.000009269636,0.0000059433,0.00001708587,0.0002208419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1237149,"threshold_uncertainty_score":0.997387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04545898790099095,"score_gpt":0.276468913018682,"score_spread":0.231009925117691,"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."}}