{"id":"W2966246169","doi":"10.4000/vertigo.24911","title":"Statistique appliquée aux images NOAA pour le suivi du couvert végétal des bassins versants d'Aghien et de la Mé","year":2019,"lang":"fr","type":"article","venue":"VertigO","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Geography; Humanities; Art","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":[0.002677509,0.0006082869,0.0007003379,0.002309918,0.0006551357,0.001571901,0.0004735687,0.0004960818,0.006113019],"category_scores_gemma":[0.007494901,0.0002776977,0.001648084,0.003545385,0.0004594844,0.0005980583,0.0004752903,0.000994521,0.001210408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009020928,"about_ca_system_score_gemma":0.001292406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03376225,"about_ca_topic_score_gemma":0.04888913,"domain_scores_codex":[0.9982843,0.0004806125,0.0001432088,0.000573054,0.0004207633,0.00009807136],"domain_scores_gemma":[0.9938737,0.004045903,0.0005911164,0.0003620495,0.001020157,0.0001071065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001138382,0.0002662191,0.6953338,0.0006315798,0.001730022,0.0003124861,0.002135944,0.01553528,0.02996288,0.004041983,0.004676179,0.2442354],"study_design_scores_gemma":[0.0000378822,0.0003283605,0.9227372,0.00008386207,0.0005134275,0.000223639,0.002035389,0.0383883,0.0117975,0.001668999,0.0221167,0.00006862787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7890749,0.001275571,0.1703236,0.0003543072,0.0001884114,0.0008025709,0.01850495,0.001895749,0.01757991],"genre_scores_gemma":[0.8389925,0.0004212461,0.1321627,0.00008561236,0.00005023952,0.001116473,0.01266708,0.0003503919,0.01415373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03376225,"threshold_uncertainty_score":0.06713146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013333403201644,"score_gpt":0.2503565339416554,"score_spread":0.2370231307400114,"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."}}