{"id":"W4400349322","doi":"10.4000/11ydz","title":"Caractérisation de la consommation domestique d’eau potable dans le temps et dans l’espace (Gironde, France)","year":2024,"lang":"fr","type":"article","venue":"VertigO","topic":"Water Governance and Infrastructure","field":"Social Sciences","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":[0.000988903,0.0005512506,0.0005296243,0.002035245,0.00105489,0.001846113,0.0006379824,0.0007023116,0.003012074],"category_scores_gemma":[0.001050926,0.0002718984,0.0008459368,0.002491092,0.0007173365,0.0006597545,0.0006852784,0.0003381909,0.0008910733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546799,"about_ca_system_score_gemma":0.0008158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2302181,"about_ca_topic_score_gemma":0.3248576,"domain_scores_codex":[0.9989201,0.000168898,0.00004655033,0.0003392886,0.0003492427,0.000175924],"domain_scores_gemma":[0.999073,0.0001968028,0.000143741,0.00004092413,0.0004899586,0.00005546732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008491334,0.00006965968,0.799419,0.000564846,0.0003366488,0.001125275,0.01171559,0.005025075,0.07532088,0.0008789345,0.002057215,0.1026379],"study_design_scores_gemma":[0.000003871397,0.00009020812,0.986978,0.00003689322,0.00002427655,0.0001317372,0.002741076,0.0009034459,0.001760855,0.00007811405,0.007227491,0.00002407789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867463,0.001088961,0.002413376,0.00007403464,0.00002011136,0.00002552647,0.001647354,0.00007624619,0.007908251],"genre_scores_gemma":[0.9875431,0.0005264171,0.003454243,0.00005203712,0.00001282739,0.00004278253,0.001572927,0.00005063365,0.006745063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2302181,"threshold_uncertainty_score":0.4577562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006322782480275636,"score_gpt":0.2624537001904675,"score_spread":0.2561309177101919,"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."}}