{"id":"W4248218430","doi":"10.2523/75693-ms","title":"Estimating Gas Decline-Exponent Before Decline-Curve Analysis","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPE Gas Technology Symposium","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Texas A and M University","keywords":"Citation; Exponent; Computer science; Library science; Database; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001211012,0.0007785321,0.0006131578,0.001775324,0.0003015829,0.001034128,0.0008381458,0.001026077,0.001025243],"category_scores_gemma":[0.008019743,0.0003459087,0.0007050527,0.000993353,0.0003685006,0.002201186,0.0007699725,0.001059293,0.0007885168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345626,"about_ca_system_score_gemma":0.0007584658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010242,"about_ca_topic_score_gemma":0.007601228,"domain_scores_codex":[0.9994191,0.000102652,0.00004323864,0.0001605258,0.0002105135,0.00006396134],"domain_scores_gemma":[0.9979512,0.0008385901,0.00023534,0.0001919492,0.0007434395,0.00003957819],"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":[0.0003162226,0.0001497891,0.1454108,0.0005915263,0.0001045777,0.0006721425,0.0006594977,0.4654029,0.05492695,0.02488576,0.005607157,0.3012727],"study_design_scores_gemma":[0.000009744243,0.0000629256,0.02199143,0.00004778,0.00002207212,0.0001234241,0.0001349485,0.9473291,0.01989844,0.005110697,0.005223476,0.00004592671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.267865,0.0009077624,0.7178689,0.0002661032,0.00005624642,0.0002535081,0.0009403978,0.001453038,0.01038893],"genre_scores_gemma":[0.9043281,0.000576778,0.08928081,0.00005485424,0.00002225491,0.0001217395,0.0009961763,0.0001649058,0.004454452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.010242,"threshold_uncertainty_score":0.02036482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006748293359896664,"score_gpt":0.2133810789621473,"score_spread":0.2066327856022507,"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."}}