{"id":"W2994965165","doi":"10.1007/s11004-019-09846-0","title":"A Special Issue on Data Science for Geosciences","year":2019,"lang":"en","type":"article","venue":"Mathematical Geosciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Hydrogeology; Geology; Data science; Earth science; Computer science; Geotechnical engineering","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":[0.00595292,0.003239482,0.004316985,0.01022538,0.002900659,0.01287523,0.002906644,0.005330284,0.1405584],"category_scores_gemma":[0.01802509,0.001082261,0.002254038,0.007340974,0.002098833,0.01073912,0.005247208,0.006814273,0.05917114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003237731,"about_ca_system_score_gemma":0.00412372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001576702,"about_ca_topic_score_gemma":0.003276361,"domain_scores_codex":[0.9941933,0.001139097,0.0005067179,0.000896164,0.002897666,0.0003671752],"domain_scores_gemma":[0.9748198,0.009242342,0.00150315,0.003360284,0.006823827,0.00425062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001615716,0.0000181868,0.00006036231,0.00016253,0.00001289113,0.00002120675,0.000009621857,0.00005670557,0.00009010715,0.002116749,0.9833455,0.01409005],"study_design_scores_gemma":[0.00001032132,0.00001825846,0.0002022023,0.0001364938,0.000009713228,0.00005064196,0.00001601623,0.0001849989,0.00005499026,0.005037583,0.9942706,0.000008186389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002393628,0.02927952,0.004619453,0.03920051,0.8915647,0.0001047498,0.001057593,0.0005661718,0.03336785],"genre_scores_gemma":[0.001551244,0.01936189,0.001971853,0.01101397,0.8500642,0.0001115188,0.002097713,0.001121167,0.1127064],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1405584,"threshold_uncertainty_score":0.4702148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04719193242591725,"score_gpt":0.2974589098836529,"score_spread":0.2502669774577356,"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."}}