{"id":"W2793571199","doi":"10.2118/189787-ms","title":"Impact of Entrained Hydrocarbon and Organic Matter Components on Reservoir Quality of Organic-Rich Shales: Implications for Sweet Spot Identification in the Duvernay Formation Canada","year":2018,"lang":"en","type":"article","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; Encana (Canada); University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Sweet spot; Geology; Petroleum engineering; Organic matter; Identification (biology); Hydrocarbon; Quality (philosophy); Environmental science; Geochemistry; Petrology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002948933,0.0003866531,0.0004506479,0.001345928,0.001557046,0.001101552,0.0004707064,0.0003856652,0.0007027103],"category_scores_gemma":[0.0003468875,0.0002602636,0.0003415413,0.001116216,0.0006997128,0.0003284891,0.0005693807,0.0002598949,0.0001447446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003135032,"about_ca_system_score_gemma":0.002929585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7170285,"about_ca_topic_score_gemma":0.88746,"domain_scores_codex":[0.9996257,0.00001722842,0.00001868753,0.00008182394,0.0001613839,0.00009519645],"domain_scores_gemma":[0.9996139,0.00002811613,0.00004812464,0.00001457822,0.0002416535,0.00005363508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003407999,0.00008075938,0.8418609,0.00009980558,0.0001376935,0.0006255438,0.00127912,0.002127595,0.140538,0.0001712952,0.0002911176,0.01244725],"study_design_scores_gemma":[0.000003683392,0.00003823959,0.9846339,0.000008561007,0.00002361129,0.00009668174,0.001146164,0.002567696,0.01088987,0.0000155707,0.0005616609,0.00001438492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992368,0.00006255693,0.0001159827,0.00001303535,7.330405e-7,0.000006158881,0.0002409949,0.000006632591,0.0003171058],"genre_scores_gemma":[0.9989778,0.00005454373,0.000371971,0.000009893482,5.963569e-7,0.000003355824,0.0002520302,0.000005120038,0.0003248076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2829715,"threshold_uncertainty_score":0.569276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02892814927588981,"score_gpt":0.2822201353152544,"score_spread":0.2532919860393645,"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."}}