{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002219457,0.0004075854,0.0002863971,0.00008967306,0.0004979447,0.0002123213,0.0004795749,0.0004369108,0.001266025],"category_scores_gemma":[0.0003995495,0.0004981364,0.0001638487,0.0003923712,0.002662502,0.0004018945,0.0003278019,0.0006368508,0.0001954037],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00993273,"about_ca_system_score_gemma":0.0001452448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008900333,"about_ca_topic_score_gemma":0.001426127,"domain_scores_codex":[0.9951109,0.002419128,0.0003721213,0.0006732593,0.0003977378,0.001026877],"domain_scores_gemma":[0.9981882,0.0007344785,0.0001366443,0.0004943744,0.00001295487,0.0004333655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009835696,0.001109143,0.5891655,0.0006018635,0.0002613821,0.001555757,0.02865262,0.02061616,0.1268225,0.07179496,0.002446948,0.1568748],"study_design_scores_gemma":[0.0008054561,0.00008979024,0.8280221,0.0003104614,0.0001532879,0.0002020855,0.002573346,0.002929595,0.0194265,0.0218814,0.1230551,0.0005509055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277803,0.001435084,0.04202263,0.006547461,0.000113883,0.0003372479,0.00003590444,0.0001083684,0.02161912],"genre_scores_gemma":[0.8796581,0.004382279,0.06598503,0.006567268,0.0000874777,0.0001025812,0.00004842534,0.00007564569,0.0430932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2388566,"threshold_uncertainty_score":0.999747,"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."}}