{"id":"W3127976382","doi":"10.3917/rdna.792.0065","title":"Le renseignement français en Afrique","year":2016,"lang":"fr","type":"article","venue":"Revue Défense Nationale","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Humanities; Political science; Art; 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":[0.002718501,0.0004244187,0.0002842655,0.0009719126,0.01079477,0.005810358,0.0005588833,0.002854134,0.02180801],"category_scores_gemma":[0.006388496,0.0002284213,0.0003345553,0.001901448,0.004892681,0.003478105,0.002973566,0.003881593,0.0033414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008871414,"about_ca_system_score_gemma":0.01415255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2215016,"about_ca_topic_score_gemma":0.2707306,"domain_scores_codex":[0.9958624,0.001537474,0.0001554697,0.0004009258,0.0007986947,0.001244964],"domain_scores_gemma":[0.9962093,0.0008843958,0.000584807,0.0003450467,0.001040908,0.0009355806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002431552,0.00008698679,0.027318,0.0003899022,0.00005720035,0.002435505,0.1316802,0.0003401032,0.001906049,0.52641,0.1563742,0.1527587],"study_design_scores_gemma":[0.000008187487,0.00003479435,0.009924375,0.0002529599,0.000006364782,0.0005579646,0.01647225,0.00005924688,0.0001983244,0.004123435,0.9683358,0.00002630632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2002306,0.03538455,0.003119975,0.1555489,0.005013681,0.00006129991,0.0005186042,0.0001336328,0.5999887],"genre_scores_gemma":[0.7144239,0.01295831,0.001181352,0.01081563,0.0008957562,0.00004084784,0.0001940781,0.0001117736,0.2593783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2215016,"threshold_uncertainty_score":0.4404246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06468723899685644,"score_gpt":0.3954320609048545,"score_spread":0.330744821907998,"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."}}