{"id":"W4206071531","doi":"10.7202/1084258ar","title":"Un bilan de la mise en œuvre de la séquence « éviter-réduire-compenser » au sein des schémas directeurs d’aménagement et de gestion des eaux en France métropolitaine","year":2021,"lang":"fr","type":"article","venue":"Les Cahiers de droit","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; 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":[0.00513897,0.0002764522,0.0001834496,0.001193392,0.002864488,0.005455341,0.0006967826,0.001177086,0.008364468],"category_scores_gemma":[0.007950425,0.0002866081,0.0004269626,0.001472556,0.002726587,0.001996966,0.001268761,0.00153192,0.0009577259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01456022,"about_ca_system_score_gemma":0.01987156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3533847,"about_ca_topic_score_gemma":0.446138,"domain_scores_codex":[0.9965802,0.001020844,0.000163317,0.0006084357,0.001164537,0.0004627335],"domain_scores_gemma":[0.9926665,0.002025705,0.001020109,0.0006381432,0.003004778,0.0006447423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004852959,0.0002370031,0.257143,0.0008400376,0.0001776555,0.0008980188,0.115751,0.005921608,0.01630015,0.26048,0.01952971,0.3222366],"study_design_scores_gemma":[0.00004174469,0.0003501414,0.4452975,0.0004996621,0.00006609327,0.0003007073,0.05220604,0.001666602,0.005495209,0.006215523,0.4877118,0.0001488607],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8145733,0.002433315,0.02536191,0.01607829,0.0003287351,0.000306035,0.001657809,0.0004281593,0.1388326],"genre_scores_gemma":[0.9337435,0.0008908699,0.01203915,0.0009797279,0.00004283502,0.0001195155,0.0005891506,0.0000892709,0.05150592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3533847,"threshold_uncertainty_score":0.7026556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00998802017934657,"score_gpt":0.2409892994900162,"score_spread":0.2310012793106697,"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."}}