{"id":"W2032147664","doi":"10.2118/2004-284","title":"Optimized Natural Gas From Coal Stimulations in the Western Canadian Sedimentary Basin, Part I: Database Collection","year":2004,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural gas; Coal; Sedimentary rock; Database; Structural basin; Geology; Natural (archaeology); Mining engineering; Computer science; Geochemistry; Archaeology; Geomorphology; Geography; Engineering; Paleontology; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001345886,0.000167597,0.0001651056,0.0006038862,0.0001501454,0.0002012797,0.0004340243,0.00007129872,0.0006654229],"category_scores_gemma":[0.00004285995,0.0001582001,0.00006893259,0.0002696474,0.0000445282,0.0003261922,0.00001266871,0.0003199377,0.0001008856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168671,"about_ca_system_score_gemma":0.0007954373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9137248,"about_ca_topic_score_gemma":0.9835376,"domain_scores_codex":[0.9988225,0.00005165781,0.0002890646,0.0002213944,0.0002958625,0.0003195668],"domain_scores_gemma":[0.9992424,0.00005365663,0.00003191343,0.0002349746,0.00009078669,0.0003462788],"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":[0.00001245776,0.00001660802,0.008253061,0.000002960723,0.0001484547,0.0001049522,0.0008088897,0.9807934,0.00004032433,0.0005503834,0.009214849,0.00005371321],"study_design_scores_gemma":[0.001939183,0.0000181559,0.01990918,0.00009547085,0.00005790545,0.00001743896,0.0008188779,0.8652779,0.0001311918,0.0004482551,0.1108361,0.0004503308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195021,0.0002064135,0.004569566,0.0467233,0.002856239,0.0003845234,0.001807807,0.0001304894,0.02381956],"genre_scores_gemma":[0.994625,0.00006225657,0.0002346085,0.002406097,0.0001867468,0.00005299746,0.002079249,0.00001702361,0.0003360082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1155154,"threshold_uncertainty_score":0.7285914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173565995369474,"score_gpt":0.2274364449454623,"score_spread":0.2100798454085149,"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."}}