{"id":"W2391889425","doi":"","title":"Situation facing PetroChina′s oil and gas exploration and direction of onshore oil and gas resources strategic area selection","year":2006,"lang":"en","type":"article","venue":"Dizhi tongbao","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Foreland basin; Fossil fuel; Geology; Resource (disambiguation); Petroleum; Petroleum engineering; Work (physics); China; Selection (genetic algorithm); Unconventional oil; Structural basin; Geomorphology; Paleontology; Geography; Engineering; Computer science","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":[0.0005055997,0.0001227654,0.0001123726,0.0005344835,0.001420299,0.001246291,0.0002283777,0.0005078664,0.001359522],"category_scores_gemma":[0.0008625095,0.0001219544,0.0001006577,0.0007856248,0.0007072844,0.0007180168,0.0007118864,0.000337692,0.00007409446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901638,"about_ca_system_score_gemma":0.004609071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02396514,"about_ca_topic_score_gemma":0.06822532,"domain_scores_codex":[0.9995434,0.0001159533,0.00002021417,0.0000413582,0.0001138892,0.000165091],"domain_scores_gemma":[0.9995068,0.00009675714,0.0001150115,0.00001830742,0.0001470398,0.0001161181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003494897,0.00007015411,0.6817056,0.0004320077,0.00008546475,0.01216169,0.01707675,0.0174352,0.01718595,0.1096266,0.004983375,0.1388878],"study_design_scores_gemma":[0.00006062175,0.000334657,0.6976019,0.0002451183,0.0001005316,0.006936774,0.1401938,0.01905005,0.007219583,0.05129312,0.07677716,0.0001866119],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778416,0.0004413085,0.00197639,0.002239238,0.00002046409,0.00001855432,0.00003936834,0.000009820192,0.01741316],"genre_scores_gemma":[0.997661,0.0002025539,0.0006381568,0.00004830661,0.000003408765,0.000005995877,0.0000158178,8.373078e-7,0.001423861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02396514,"threshold_uncertainty_score":0.04765129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488139691183014,"score_gpt":0.2102415138361461,"score_spread":0.195360116924316,"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."}}