{"id":"W4399766120","doi":"10.4000/11umo","title":"Distribution spatiale et structure démographique de Khaya spp. sur la chaîne de l’Atakora au Togo","year":2024,"lang":"fr","type":"article","venue":"VertigO","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Khaya; Forestry; Humanities; Geography; Art; Biology; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003490141,0.0002328018,0.0002395227,0.00001561035,0.0003269705,0.0001198074,0.0002024536,0.0003813875,0.000913744],"category_scores_gemma":[0.0001824817,0.0001164796,0.0001718191,0.0004881832,0.0004250361,0.0002084656,0.000123442,0.0003634191,0.00006608984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002399613,"about_ca_system_score_gemma":0.000114517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002137081,"about_ca_topic_score_gemma":0.01067258,"domain_scores_codex":[0.9983364,0.0002892615,0.0002062117,0.0003815467,0.0001242155,0.0006624075],"domain_scores_gemma":[0.9992179,0.0004519175,0.00004720724,0.00007071166,0.00004566578,0.0001666137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006573599,0.0002038269,0.8105649,0.0001576785,0.000254774,0.0002808762,0.001214292,0.00007008486,0.02602385,0.04696333,0.09174196,0.02245872],"study_design_scores_gemma":[0.00008330995,0.0002516964,0.5124111,0.0001059273,0.00007112027,0.00005913957,0.0002697058,0.0003494702,0.0006912257,0.00622391,0.4792537,0.0002296924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525431,0.01049406,0.0003824916,0.03364826,0.0009640845,0.0001462734,0.001066958,0.000117249,0.0006375152],"genre_scores_gemma":[0.9920326,0.001702749,0.0001297794,0.0005688781,0.0007770585,0.00001626381,0.0001531816,0.000003296795,0.004616222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3875117,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314245703674848,"score_gpt":0.2320080255883257,"score_spread":0.2188655685515772,"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."}}