{"id":"W7161962037","doi":"10.82308/39235","title":"Geospatial and statistical analysis of anthropogenic groundwater contamination","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Water contamination; Surface water; Groundwater; Groundwater contamination","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":[0.00155624,0.0002100274,0.0002217758,0.005593144,0.0003201743,0.000972467,0.0002134489,0.0001424317,0.001153677],"category_scores_gemma":[0.004542156,0.0001318291,0.0005342015,0.006959642,0.0003458506,0.0003608582,0.0005855246,0.0001585807,0.0001651684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108207,"about_ca_system_score_gemma":0.001612422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05071619,"about_ca_topic_score_gemma":0.06869692,"domain_scores_codex":[0.9986972,0.0005700478,0.00008418049,0.000125093,0.0004501053,0.00007335725],"domain_scores_gemma":[0.9974107,0.001258274,0.0004175709,0.0002812753,0.0005604653,0.00007168891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000156205,0.00005284687,0.8025792,0.0001775177,0.0003960308,0.0003538356,0.0004781697,0.0422482,0.002305292,0.009959,0.002191286,0.1391025],"study_design_scores_gemma":[0.00001220705,0.00008682151,0.909128,0.00004991625,0.0001020112,0.0002691405,0.001035647,0.06463797,0.002054839,0.00620094,0.01638684,0.00003563001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9092035,0.001606274,0.05831631,0.001035371,0.00004807665,0.0001395851,0.01613466,0.0007659284,0.01275028],"genre_scores_gemma":[0.9787415,0.0004979995,0.01592284,0.00003194297,0.00001547852,0.00006480249,0.003414602,0.00003801303,0.001272807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05071619,"threshold_uncertainty_score":0.100842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0067457713407757,"score_gpt":0.2295014893222972,"score_spread":0.2227557179815215,"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."}}