{"id":"W2104894654","doi":"10.1111/j.1468-8123.2004.00084.x","title":"Factors controlling free thermal convection in faults in sedimentary basins: implications for the formation of zinc–lead mineral deposits","year":2004,"lang":"en","type":"article","venue":"Geofluids","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Groundwater recharge; Sedimentary rock; Geothermal gradient; Geochemistry; Sedimentary basin; Hydrothermal circulation; Hydrogeology; Mineral resource classification; Fault (geology); Structural basin; Lead (geology); Anhydrite; Convection; Petrology; Fluid dynamics; Aquifer; Geophysics; Geomorphology; Groundwater; Geotechnical engineering; Seismology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001252997,0.00009512698,0.0001443336,0.0001559853,0.00004933035,0.00001227463,0.0001302447,0.00005928211,0.000002903876],"category_scores_gemma":[0.00002527849,0.00007113109,0.00007354622,0.0002811752,0.00001762858,0.0002375929,0.00001302769,0.00008110308,0.000001047957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008679646,"about_ca_system_score_gemma":0.00001335785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003701533,"about_ca_topic_score_gemma":0.002725348,"domain_scores_codex":[0.9993371,0.00001703673,0.0003175263,0.00008439648,0.00008676072,0.0001571719],"domain_scores_gemma":[0.9996841,0.00006793419,0.00003187009,0.000168263,0.00002555263,0.00002225576],"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":[0.00002241073,0.00004401688,0.008601029,0.00003747883,0.00004461363,2.62363e-7,0.001690524,0.8495638,0.1389316,0.0002208746,0.0000485452,0.0007948045],"study_design_scores_gemma":[0.004682152,0.0000781382,0.1550424,0.00007161054,0.00007710616,0.000001645179,0.001397262,0.675516,0.1619756,0.0006721259,0.0002177371,0.0002682422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9324738,0.0003150973,0.06568183,0.0008997797,0.00008907843,0.0003346094,0.00002749405,0.00004140068,0.0001368639],"genre_scores_gemma":[0.9995388,0.00006507217,0.0001343782,0.0000545397,0.00003548749,0.00008562568,0.00006987016,0.00001161822,0.000004601022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1740479,"threshold_uncertainty_score":0.2900642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885711610508457,"score_gpt":0.23544983947488,"score_spread":0.2165927233697954,"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."}}