{"id":"W7161503434","doi":"10.5281/zenodo.20261900","title":"Congo ID talents : INSCH Document de présentation et de structure du projet (v2.0)","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Global Politics and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Trident; Diaspora; Georeference","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006568172,0.0006523905,0.0003305537,0.004212182,0.002731121,0.01111983,0.001433938,0.002043859,0.1918082],"category_scores_gemma":[0.01347067,0.0005755183,0.0003000795,0.004751994,0.001046275,0.002449683,0.003083631,0.001958071,0.08520571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009207743,"about_ca_system_score_gemma":0.01859755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09016993,"about_ca_topic_score_gemma":0.06090776,"domain_scores_codex":[0.9963026,0.0007902471,0.0002138476,0.0003395972,0.001639289,0.0007143496],"domain_scores_gemma":[0.9937582,0.001305049,0.0003432026,0.00075636,0.002876427,0.0009607811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001174343,0.00009108884,0.00142759,0.0007038207,0.000009296848,0.0002611383,0.003391725,0.0006226298,0.0014374,0.04694902,0.8721586,0.07283032],"study_design_scores_gemma":[0.000009603406,0.00001522046,0.001956643,0.0002177565,0.000002024799,0.00003951073,0.0005598131,0.00006087267,0.0004898945,0.0006398807,0.9959967,0.00001211103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009256678,0.001637474,0.0106622,0.01013327,0.002028353,0.003641129,0.09045521,0.002343583,0.8698421],"genre_scores_gemma":[0.03746411,0.001776,0.01732498,0.001942502,0.0003136258,0.004966966,0.06202022,0.001838053,0.8723535],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1918082,"threshold_uncertainty_score":0.6416622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021056983944173,"score_gpt":0.2526549026391071,"score_spread":0.2324443327996653,"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."}}