{"id":"W1851410615","doi":"10.4000/vertigo.15938","title":"L’eau, source de savoirs : analyse de situations d’expertise dans des bassins versants agricoles","year":2015,"lang":"fr","type":"article","venue":"VertigO","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002831521,0.0003598766,0.0003578103,0.001050548,0.005415692,0.005782757,0.0009821516,0.002049885,0.006718183],"category_scores_gemma":[0.005882245,0.0003133875,0.000294002,0.001125916,0.005638176,0.003208036,0.003077302,0.001257693,0.0004952512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004653674,"about_ca_system_score_gemma":0.002613207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02457853,"about_ca_topic_score_gemma":0.04911058,"domain_scores_codex":[0.9976268,0.001406917,0.00004956776,0.0003458202,0.0002957333,0.0002751296],"domain_scores_gemma":[0.9953828,0.003228725,0.000336021,0.0001291324,0.000550433,0.0003728304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001421992,0.0001165939,0.01837442,0.0001922147,0.00002476117,0.002520626,0.9360967,0.0009913984,0.005512114,0.01903393,0.0007833588,0.01621162],"study_design_scores_gemma":[0.00001104468,0.0001298276,0.03017524,0.0001451918,0.00002377206,0.0004377227,0.9333317,0.001883792,0.001286011,0.006385908,0.02614271,0.00004707259],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682505,0.0001919325,0.004523817,0.0008716173,0.00001148893,0.00003612453,0.00003958456,0.00002002963,0.02605471],"genre_scores_gemma":[0.9947167,0.00008180364,0.001197672,0.00004570146,0.000003101242,0.00002568612,0.00002246048,0.00001003145,0.003896824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02457853,"threshold_uncertainty_score":0.04887098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06429153285488047,"score_gpt":0.2827135722268639,"score_spread":0.2184220393719834,"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."}}