{"id":"W2778118055","doi":"10.19044/esj.2017.v13n36p192","title":"Identification Des Zones Potentielles De Recharge Des Aquifères Fracturés Du Bassin Versant Du N’zo (Ouest De La Côte d’Ivoire) : Contribution Du SIG Et De La Télédétection","year":2017,"lang":"en","type":"article","venue":"European Scientific Journal ESJ","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Groundwater recharge; Watershed; Hydrology (agriculture); Geology; Aquifer; Groundwater; Drainage; Geography","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":[0.0008001644,0.000325224,0.0002618875,0.003103001,0.0002639503,0.001106315,0.0002067834,0.0003965688,0.0005607241],"category_scores_gemma":[0.001217516,0.000191647,0.0002467242,0.001089157,0.0003269484,0.000326787,0.0003762092,0.0001210365,0.0000905595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000644577,"about_ca_system_score_gemma":0.0005254368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03150362,"about_ca_topic_score_gemma":0.05386844,"domain_scores_codex":[0.9996941,0.0000650548,0.00002310786,0.00007969965,0.00008773671,0.00005027759],"domain_scores_gemma":[0.9994641,0.000252001,0.00009570534,0.00002198447,0.0001249286,0.0000412736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002232454,0.00005313675,0.8690953,0.00009869801,0.00006503179,0.0004581179,0.0006464254,0.01699624,0.02934882,0.0006657057,0.0001314261,0.08221781],"study_design_scores_gemma":[0.00001133903,0.0001032303,0.9410021,0.00003067042,0.00003608875,0.0002833367,0.0009335805,0.04951307,0.006638792,0.0004786975,0.0009495973,0.00001962319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898865,0.0002023847,0.008887902,0.00002026838,0.000002468452,0.00002316359,0.0002258315,0.00003483109,0.0007166173],"genre_scores_gemma":[0.9911928,0.00008369426,0.008112952,0.000001733506,0.000001891435,0.00001173877,0.0001757729,0.000003740375,0.0004156657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03150362,"threshold_uncertainty_score":0.06264049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007416072734502227,"score_gpt":0.2541856138877515,"score_spread":0.2467695411532492,"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."}}