{"id":"W2151110254","doi":"10.4000/vertigo.12234","title":"L’usage de la télédétection pour l’évaluation économique des écosystèmes marins : application à l’aire marine protégée de Tristão en Guinée","year":2012,"lang":"fr","type":"article","venue":"VertigO","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Forestry; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008710204,0.0008824659,0.0006692966,0.0009844716,0.0003813023,0.001540845,0.0006436727,0.0007928484,0.001795903],"category_scores_gemma":[0.002008001,0.0003497711,0.001027838,0.0008063075,0.0003726421,0.0007108255,0.0005746265,0.0005697151,0.0004028391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144267,"about_ca_system_score_gemma":0.001148915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06734118,"about_ca_topic_score_gemma":0.05676974,"domain_scores_codex":[0.9995441,0.0001159575,0.00002232488,0.0001411095,0.0001382418,0.00003833315],"domain_scores_gemma":[0.9992973,0.0003504028,0.0000677599,0.00006516555,0.0001922745,0.00002709596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003960556,0.0002113108,0.05607482,0.00048584,0.0003786895,0.0003257961,0.0006925074,0.6674669,0.03914126,0.004107572,0.001078265,0.229641],"study_design_scores_gemma":[0.00002080403,0.0001479612,0.0165838,0.00005264256,0.00007152843,0.0001196477,0.0001992191,0.9652212,0.01254068,0.001069658,0.003923017,0.00004993576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4401138,0.001093784,0.5488243,0.000367273,0.00009794099,0.0001614371,0.0007673194,0.001843485,0.006730686],"genre_scores_gemma":[0.7957143,0.0005681674,0.199321,0.00004957816,0.00001685313,0.0001584814,0.0003706977,0.000148816,0.003652058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06734118,"threshold_uncertainty_score":0.1338984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642743634204756,"score_gpt":0.2446445200439539,"score_spread":0.2282170837019063,"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."}}