{"id":"W4283751307","doi":"10.4000/vertigo.35455","title":"Stratégies d’adaptation des communautés rurales à la précarité hydrique dans la commune urbaine de Téra, dans le Liptako Nigérien","year":2022,"lang":"fr","type":"article","venue":"VertigO","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Geography; Humanities; Forestry; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005864134,0.0002323968,0.0001538299,0.0004418435,0.002057905,0.001584131,0.0003020116,0.0003686733,0.002130454],"category_scores_gemma":[0.0007517307,0.0001189807,0.00011252,0.0007672788,0.001310679,0.000556559,0.001454382,0.0002757777,0.0001837406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002874103,"about_ca_system_score_gemma":0.00337292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04682911,"about_ca_topic_score_gemma":0.1289195,"domain_scores_codex":[0.9996077,0.0001941873,0.00001535667,0.00004808342,0.00003198205,0.0001027212],"domain_scores_gemma":[0.9996718,0.00007418437,0.00008348539,0.00002107153,0.00007326431,0.00007610136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002853903,0.0002047797,0.4157919,0.0007506774,0.00008638954,0.004564751,0.3042386,0.003399921,0.02508464,0.02831659,0.001328286,0.2159481],"study_design_scores_gemma":[0.00001702618,0.0003116665,0.5092421,0.0004540816,0.00005410177,0.0009689142,0.3967431,0.001205399,0.002607386,0.002841913,0.08550102,0.00005334149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821744,0.0006881414,0.001178764,0.000508068,0.000008365751,0.00006836942,0.000046845,0.000009823113,0.01531737],"genre_scores_gemma":[0.9934267,0.0005408328,0.00102219,0.00002969071,0.000001473479,0.00002822509,0.00002506253,0.000002909805,0.004923074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04682911,"threshold_uncertainty_score":0.09311306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282381109533959,"score_gpt":0.2370014980854949,"score_spread":0.2241776869901553,"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."}}