{"id":"W2965330766","doi":"10.4000/vertigo.24329","title":"Analyse des mutations socio-environnementales induites par l’exploitation minière à Bétaré-Oya, Est-Cameroun","year":2019,"lang":"fr","type":"article","venue":"VertigO","topic":"Mining and Resource Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Biology; Forestry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001719924,0.0003238326,0.0002901869,0.000232318,0.0002735865,0.0001199178,0.0002150199,0.0001888002,0.001851833],"category_scores_gemma":[0.00004760371,0.0003512869,0.0001789598,0.000367905,0.0002631463,0.0002672483,0.00008573032,0.0002538777,0.003114658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003221123,"about_ca_system_score_gemma":0.00002943228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003321641,"about_ca_topic_score_gemma":0.00006071048,"domain_scores_codex":[0.9982949,0.00009155458,0.0004166613,0.000375036,0.0002978543,0.0005239186],"domain_scores_gemma":[0.9991874,0.0001519449,0.00009387694,0.0003778277,0.0000384112,0.0001505671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003075158,0.0005749907,0.5408612,0.001696559,0.001754344,0.0000617327,0.06537212,0.2750083,0.01102985,0.008781443,0.0105699,0.08425882],"study_design_scores_gemma":[0.004101279,0.0009092613,0.3830736,0.001888342,0.002040392,0.00002725012,0.2020302,0.1230156,0.008982282,0.003225055,0.267821,0.00288572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792409,0.006507425,0.002736547,0.000801946,0.0007685233,0.0003373925,0.00003817977,0.0001725415,0.009396547],"genre_scores_gemma":[0.9761474,0.0004470527,0.01059697,0.000106821,0.0001882749,0.00004890828,0.0001359204,0.00007548185,0.01225317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2572511,"threshold_uncertainty_score":0.9998939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307043774765431,"score_gpt":0.2217623939406207,"score_spread":0.2086919561929664,"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."}}