{"id":"W4416255991","doi":"","title":"Near real time groundwater forecast for the MAR projects of Cape Town, South-Africa","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Klohn Crippen Berger (Canada)","funders":"","keywords":"Cape; Groundwater; Hydrology (agriculture); Satellite imagery","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":[0.00021215,0.0003112487,0.0002297175,0.0007767507,0.0003493688,0.0006471521,0.000263555,0.0004002978,0.001971722],"category_scores_gemma":[0.0009818302,0.0001334093,0.0001708381,0.0009786959,0.0001228478,0.0006122438,0.0002563892,0.0002834555,0.0003151222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147114,"about_ca_system_score_gemma":0.001143621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1676755,"about_ca_topic_score_gemma":0.271282,"domain_scores_codex":[0.9999228,0.00001169299,0.000004591746,0.00001805617,0.00002572521,0.00001714723],"domain_scores_gemma":[0.999719,0.00005132603,0.00004320527,0.00001754071,0.0001130119,0.00005593445],"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":[0.001896059,0.0003011779,0.3527835,0.0007672263,0.0002877554,0.005070155,0.002105477,0.3856641,0.03355642,0.00411992,0.02103605,0.1924122],"study_design_scores_gemma":[0.0001192841,0.0002362862,0.418659,0.0001202569,0.00007761691,0.0002738075,0.003716105,0.5426778,0.004704268,0.0008693606,0.02847952,0.00006677839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860977,0.0001927716,0.002238877,0.0004615767,0.00003384619,0.00005446339,0.006109293,0.0002347698,0.004576633],"genre_scores_gemma":[0.9916633,0.0001693255,0.003136956,0.00001006705,0.000009922273,0.00002512358,0.001933835,0.00001995518,0.00303156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1676755,"threshold_uncertainty_score":0.3333989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617558829520038,"score_gpt":0.2179911001898187,"score_spread":0.2018155118946184,"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."}}