{"id":"W4304698262","doi":"10.21203/rs.3.rs-2143211/v1","title":"Automated Classification of Well Test Responses in Naturally Fractured Reservoirs Using Unsupervised Machine Learning","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Energi Simulation; Heriot-Watt University","keywords":"Computer science; Test (biology); Artificial intelligence; Machine learning; Geology; Paleontology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003441353,0.0003734441,0.0003847595,0.001164731,0.0001904191,0.0005235805,0.0005303687,0.0006538857,0.001125862],"category_scores_gemma":[0.001736136,0.0001598037,0.0002849219,0.0004899281,0.0003091275,0.0005313577,0.0003768936,0.0003301691,0.0004621732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002396654,"about_ca_system_score_gemma":0.0003212224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001636074,"about_ca_topic_score_gemma":0.003422267,"domain_scores_codex":[0.9997693,0.00004913802,0.00001535289,0.0000653595,0.00005596805,0.00004487143],"domain_scores_gemma":[0.9986265,0.0006478245,0.0001822183,0.000179152,0.0002942836,0.00007006241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001214014,0.0006294065,0.09629288,0.0001926051,0.0001120484,0.0004635322,0.0002918366,0.2381757,0.1879433,0.001513701,0.003430053,0.4697409],"study_design_scores_gemma":[0.000007906769,0.0000463204,0.0218842,0.000005150915,0.000007914992,0.00005321241,0.00005712736,0.9626946,0.01393848,0.001043564,0.000248674,0.0000127695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8591186,0.00009825728,0.1376082,0.00008144425,0.00002456631,0.00004308374,0.0005717232,0.001280099,0.001174096],"genre_scores_gemma":[0.9803967,0.00002047978,0.01830094,0.00001040337,0.000009200769,0.00001549104,0.0005407986,0.00004627887,0.0006596392],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001636074,"threshold_uncertainty_score":0.003766418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04710994904147749,"score_gpt":0.3533815407249963,"score_spread":0.3062715916835189,"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."}}