{"id":"W4291417313","doi":"","title":"Evaluer les contraintes spatiales à l’utilisation des prairies et les marges de manœuvre des exploitations face à des demandes environnementales.Un exemple d’OLAE en Vendée.","year":2005,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Saint-Laurent","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.008751033,0.0007418628,0.0008167104,0.001189942,0.0005799322,0.002158125,0.001100183,0.00197826,0.008146071],"category_scores_gemma":[0.04140199,0.0004979638,0.001014169,0.001750759,0.0009282132,0.00259505,0.0009634151,0.001303324,0.0006439617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791873,"about_ca_system_score_gemma":0.001640701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04832257,"about_ca_topic_score_gemma":0.05751732,"domain_scores_codex":[0.9965874,0.001995382,0.0001648663,0.0005684207,0.0004271885,0.0002566383],"domain_scores_gemma":[0.9414936,0.0511429,0.002382168,0.001254977,0.003054807,0.0006715283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002906233,0.0008762788,0.4326738,0.001286194,0.0009045835,0.0005785835,0.00297449,0.4133958,0.01353753,0.009624233,0.003324208,0.1179181],"study_design_scores_gemma":[0.000140306,0.001514731,0.3959638,0.0003275763,0.0003174713,0.0002990377,0.008135688,0.5619078,0.007784624,0.01388738,0.009518688,0.0002028718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455755,0.0008727992,0.04757762,0.00103763,0.0000437146,0.00007490881,0.00133587,0.000114667,0.003367168],"genre_scores_gemma":[0.9520802,0.0003726908,0.04371739,0.00006702815,0.00001521564,0.0001205302,0.00123515,0.00006175235,0.002330133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04832257,"threshold_uncertainty_score":0.09608257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04338750530659587,"score_gpt":0.2697800460265842,"score_spread":0.2263925407199883,"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."}}