{"id":"W7126953184","doi":"","title":"Aquifer vulnerability mapping and GIS: a proposal to monitor uncertainty associated with spatial data processing","year":2004,"lang":"en","type":"article","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Spatial analysis; Georeference","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":[0.002510903,0.0008462339,0.0007115043,0.002751704,0.0006702815,0.002708657,0.001339657,0.000758047,0.001363881],"category_scores_gemma":[0.006081271,0.0005436116,0.0006845995,0.002883264,0.001017319,0.002419029,0.001913982,0.0006275363,0.000340643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122736,"about_ca_system_score_gemma":0.002225142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0147166,"about_ca_topic_score_gemma":0.01315225,"domain_scores_codex":[0.9986467,0.0003141453,0.00008314669,0.0003034007,0.0005537567,0.00009888849],"domain_scores_gemma":[0.9976153,0.0007333248,0.0003162931,0.0003059435,0.0009232201,0.000105913],"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":[0.0002602152,0.0001339332,0.03735098,0.0003014857,0.0002460782,0.0003872646,0.001546648,0.2830012,0.01770418,0.05331593,0.004643044,0.6011091],"study_design_scores_gemma":[0.00001803329,0.0001466915,0.007820236,0.00005428364,0.00008540781,0.0002447426,0.0007028196,0.9315973,0.01038954,0.0341068,0.01475784,0.0000763584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01788087,0.0001411239,0.9761443,0.0004356706,0.00002195967,0.0001298737,0.0003002938,0.001928469,0.003017451],"genre_scores_gemma":[0.2892731,0.0003208605,0.7068363,0.0000909658,0.0000442748,0.0002581278,0.0003990354,0.0001391692,0.002638007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0147166,"threshold_uncertainty_score":0.02926189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0388602694172425,"score_gpt":0.2493885560445385,"score_spread":0.210528286627296,"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."}}