{"id":"W4283761932","doi":"10.7343/as-2022-566","title":"Analysis of fragmented piezometric levels records: the ARTE (Antecedent Recharge Temporal Effectiveness) approach","year":2022,"lang":"en","type":"article","venue":"Acque Sotterranee-Italian Journal of Groundwater","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Regione Toscana","keywords":"Groundwater recharge; Piezometer; Hydrology (agriculture); Aquifer; Water table; Groundwater; Infiltration (HVAC); Geology; Environmental science; Geography; Meteorology; 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":[0.002469803,0.0006281802,0.0006426457,0.006729498,0.0003124254,0.00125554,0.0006086741,0.0004681014,0.000966868],"category_scores_gemma":[0.005802643,0.0002181168,0.0009919655,0.004493358,0.0003004313,0.001041928,0.001061168,0.0003728401,0.0002175224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836601,"about_ca_system_score_gemma":0.000545743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006571246,"about_ca_topic_score_gemma":0.01013468,"domain_scores_codex":[0.9988946,0.0002503101,0.0001544638,0.0002808292,0.0003019653,0.0001178487],"domain_scores_gemma":[0.9969728,0.001493716,0.0005500035,0.0004028005,0.0004958931,0.00008478781],"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":[0.0005344568,0.0001906201,0.3089571,0.0005102386,0.001140017,0.0007393807,0.0007740703,0.1776553,0.01427208,0.003539131,0.002053332,0.4896342],"study_design_scores_gemma":[0.00003058622,0.0001889569,0.2411595,0.00008212742,0.0003633952,0.0007474233,0.0006433435,0.7393602,0.006842024,0.002774461,0.007708947,0.00009912525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4781135,0.001721777,0.511771,0.0001415887,0.00005784624,0.00013278,0.003465156,0.001498803,0.003097531],"genre_scores_gemma":[0.897027,0.000362728,0.09844028,0.00003150506,0.00006545344,0.00008322887,0.003128429,0.0001137169,0.0007476354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006729498,"threshold_uncertainty_score":0.01306599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201277932600682,"score_gpt":0.2478673177578919,"score_spread":0.2277395244978238,"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."}}