{"id":"W4384037335","doi":"10.4000/vertigo.40368","title":"Dynamique de l’occupation du sol à la station forestière de l’INÉRA Kiyaka, Kwilu, République Démocratique du Congo","year":2023,"lang":"fr","type":"article","venue":"VertigO","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Geography; Forestry; Humanities; Art","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":[0.0002361626,0.0001925594,0.0001420213,0.001194027,0.0003856983,0.0008203131,0.0001689765,0.0002063465,0.002762799],"category_scores_gemma":[0.0004266975,0.0001674479,0.0002612665,0.00198441,0.0002408522,0.0003609792,0.0002480058,0.0001501304,0.0003842591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022756,"about_ca_system_score_gemma":0.000371777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1187689,"about_ca_topic_score_gemma":0.2485696,"domain_scores_codex":[0.9998543,0.00003036608,0.000006668507,0.00004658599,0.00002680896,0.00003522917],"domain_scores_gemma":[0.9997128,0.00006942475,0.00008180345,0.00001988626,0.00008799593,0.00002815675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001070206,0.00002708078,0.9732859,0.00006867075,0.00009001747,0.0001382429,0.00140628,0.003999676,0.005859362,0.0003082004,0.0005516109,0.014158],"study_design_scores_gemma":[0.000001164198,0.000008558856,0.9940865,0.00001265922,0.00001346295,0.00004044944,0.001080955,0.003112561,0.0003510009,0.00003814575,0.001249124,0.000005379563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955592,0.0001506671,0.0007548547,0.00006469157,0.000002519212,0.000009415714,0.001156529,0.00001549191,0.002286778],"genre_scores_gemma":[0.9965654,0.0001072285,0.0004999948,0.000008646851,0.000002956179,0.00001449265,0.0006253888,0.000006529743,0.002169454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1187689,"threshold_uncertainty_score":0.2361551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160892917804482,"score_gpt":0.228988332698858,"score_spread":0.2173794035208132,"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."}}