{"id":"W2346889007","doi":"10.4000/vertigo.17194","title":"Les Agences de l’eau et la restauration : 50 ans de tensions entre hydraulique et écologique","year":2016,"lang":"fr","type":"article","venue":"VertigO","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":15,"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":[0.005812788,0.0003299476,0.0004050786,0.001126144,0.002314945,0.004233219,0.0007150181,0.001094956,0.004712014],"category_scores_gemma":[0.006138741,0.0003259503,0.0004771397,0.001428842,0.00995779,0.004638956,0.00378685,0.00215993,0.0004785654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006909418,"about_ca_system_score_gemma":0.006522616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04918801,"about_ca_topic_score_gemma":0.07819872,"domain_scores_codex":[0.9965832,0.001825596,0.0001119069,0.0004017001,0.000633057,0.0004445196],"domain_scores_gemma":[0.9962764,0.001697331,0.0005027242,0.0002243863,0.0008854083,0.0004136517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000461349,0.0001766424,0.07026368,0.001803463,0.00008131618,0.0006046194,0.5119743,0.0009649844,0.004040994,0.194664,0.006644285,0.2083204],"study_design_scores_gemma":[0.00002226354,0.0004190677,0.2364627,0.002876511,0.00006509644,0.0002207471,0.3494967,0.0003581503,0.001514691,0.02093315,0.3875028,0.0001281794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8649839,0.03284097,0.007625706,0.02472058,0.0004680979,0.00007521841,0.0002156655,0.00006277354,0.06900705],"genre_scores_gemma":[0.9718859,0.01412756,0.002090542,0.001346333,0.0001159565,0.00007911041,0.00006183316,0.00003477396,0.01025796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04918801,"threshold_uncertainty_score":0.09780341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04215958231527431,"score_gpt":0.3063007943520347,"score_spread":0.2641412120367604,"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."}}