{"id":"W2335794747","doi":"10.3917/riges.411.0077","title":"La tarification de l’eau : comment combiner équité et efficacité","year":2016,"lang":"fr","type":"article","venue":"Gestion","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00782535,0.0001878935,0.0002462128,0.00008235988,0.000423483,0.00003105829,0.0001341157,0.0009098699,0.001118661],"category_scores_gemma":[0.001908588,0.0001421239,0.00005958794,0.0001538657,0.00008699857,0.0003716195,0.00005669262,0.0009538134,0.002316987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006090138,"about_ca_system_score_gemma":0.0005221536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005263496,"about_ca_topic_score_gemma":0.001151697,"domain_scores_codex":[0.9870217,0.01118511,0.0006357131,0.0003108071,0.0002576061,0.0005890978],"domain_scores_gemma":[0.9933866,0.005223279,0.0004552836,0.0004251784,0.0002103318,0.0002993086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001129905,0.0003110735,0.01090921,0.0007598173,0.00003567968,0.00001238084,0.007917595,0.00001350954,0.001700654,0.2775787,0.1545889,0.5460595],"study_design_scores_gemma":[0.0008820561,0.0001436185,0.08826774,0.002197058,0.00003755676,0.00002139977,0.0007833614,0.0001605635,0.00004442461,0.00133097,0.9059653,0.0001659551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04585977,0.001666186,0.01506141,0.9228407,0.003193519,0.0008981503,0.00006563851,0.0001246624,0.01028999],"genre_scores_gemma":[0.9546179,0.002081521,0.001015983,0.006118247,0.0007184938,0.0001547876,0.00003811768,0.00003977568,0.03521522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9167224,"threshold_uncertainty_score":0.9997944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086654337306146,"score_gpt":0.4546231236546793,"score_spread":0.3459576899240647,"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."}}