{"id":"W2608262003","doi":"10.3968/9456","title":"Drilling Technical Difficulties and Solutions in Development of Hot Dry Rock Geothermal Energy","year":2017,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drilling; Petroleum engineering; Geothermal gradient; Drilling fluid; Drilling engineering; Geothermal energy; Geology; Wellbore; Technology development; Mining engineering; Engineering; Mechanical engineering; Manufacturing engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001420598,0.0001253134,0.0001705995,0.0001334174,0.0002282709,0.00002892583,0.00008201738,0.00006308722,0.000001980536],"category_scores_gemma":[0.00002037675,0.0001204578,0.000008998723,0.00003816331,0.00001994481,0.0004082932,0.00007644972,0.00008697301,0.00000106376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006204078,"about_ca_system_score_gemma":0.00003843801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004697761,"about_ca_topic_score_gemma":0.001086371,"domain_scores_codex":[0.9991841,0.00001012275,0.0003500013,0.0001570513,0.0001132002,0.0001854693],"domain_scores_gemma":[0.9997478,0.00002140911,0.00006250643,0.0001076818,0.00001956392,0.0000410644],"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":[0.00006430368,0.0001401255,0.006572908,0.0002423875,0.00002919817,0.000008969471,0.00899934,0.7068151,0.007894414,0.003343996,0.0000166739,0.2658726],"study_design_scores_gemma":[0.004721068,0.0001029347,0.08232997,0.001505407,0.00001538038,0.0000157282,0.007126581,0.7458815,0.07824852,0.002330367,0.07583867,0.001883899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2959197,0.006532751,0.6961769,0.00008638848,0.0004395141,0.0001079165,0.000002476154,0.0001335235,0.0006008393],"genre_scores_gemma":[0.9794554,0.003142565,0.01726497,0.000007790934,0.00001528252,0.00005520685,0.000008303628,0.00001191962,0.00003852481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6835358,"threshold_uncertainty_score":0.4912127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879044915697775,"score_gpt":0.233525423230237,"score_spread":0.2147349740732593,"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."}}