{"id":"W2586569592","doi":"10.7202/1038663ar","title":"Dynamiques de l’aménagement du territoire et inégalités sociospatiales au Sénégal","year":2017,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009705473,0.0002810715,0.0003015984,0.001794843,0.001117209,0.001393246,0.0005614423,0.0002794077,0.003833598],"category_scores_gemma":[0.003239515,0.0001856204,0.0003458879,0.006206852,0.001562775,0.0009653179,0.001243512,0.0004245655,0.0001462334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004497342,"about_ca_system_score_gemma":0.003612295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6919259,"about_ca_topic_score_gemma":0.8297372,"domain_scores_codex":[0.9994375,0.0002124394,0.00003007906,0.000101864,0.00009616894,0.0001219784],"domain_scores_gemma":[0.9982084,0.0007607795,0.0004012587,0.0001418873,0.0004032722,0.00008438623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001043958,0.00002764312,0.9396864,0.0003400812,0.0002433844,0.0003592353,0.01506391,0.004708017,0.001030005,0.007417158,0.0006399895,0.03037967],"study_design_scores_gemma":[0.000002077491,0.00001698834,0.975771,0.00009535599,0.00004208381,0.00005928918,0.01763771,0.0009768178,0.0001746448,0.001103157,0.004103984,0.00001679179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863527,0.0009930051,0.00140722,0.000776994,0.000007450276,0.00003256336,0.001851627,0.00001281467,0.008565796],"genre_scores_gemma":[0.9976739,0.0004564602,0.0006217081,0.00002549269,0.000002284478,0.00002701451,0.0002855731,0.000003640464,0.0009038387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6919259,"threshold_uncertainty_score":0.6197768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354305880112511,"score_gpt":0.2422381392541836,"score_spread":0.2286950804530585,"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."}}