{"id":"W1587310237","doi":"","title":"Vulnérabilité de l'agriculture en réponse aux changements climatiques : étude de l'influence passée et future de l'occupation agricole du territoire sur le régime hydrologique et la qualité de l'eau d'un bassin versant, à l'aide d'un système de modélisation intégrée : rapport final.","year":2005,"lang":"fr","type":"article","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Natural Resources Canada","keywords":"Political science; Geography; Forestry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003982452,0.0005879418,0.0006665267,0.0008891032,0.001106491,0.004187257,0.00126772,0.001390347,0.004590856],"category_scores_gemma":[0.00976056,0.0003687392,0.001477079,0.001840352,0.001378592,0.002054389,0.002647227,0.001238781,0.0005202028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004050729,"about_ca_system_score_gemma":0.002912382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06639051,"about_ca_topic_score_gemma":0.07287961,"domain_scores_codex":[0.9981389,0.0007776663,0.00007621967,0.0003643033,0.0003926179,0.0002502371],"domain_scores_gemma":[0.9923263,0.004216637,0.001279133,0.0005328944,0.001197684,0.0004474413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007741302,0.000394279,0.8226218,0.0007887071,0.001154569,0.001365192,0.01498048,0.06960246,0.006685201,0.01311782,0.002346986,0.06616849],"study_design_scores_gemma":[0.00002872354,0.000653198,0.88773,0.0003375684,0.0004861244,0.0005290656,0.01616415,0.05910809,0.004162746,0.01493319,0.01570063,0.0001665545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802275,0.001278159,0.006784067,0.001899228,0.00004420317,0.00005726783,0.0007243943,0.00009878871,0.00888639],"genre_scores_gemma":[0.9952768,0.000608218,0.001411388,0.00008197781,0.00001004765,0.00005021144,0.0002373127,0.00002908344,0.002294902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9336095,"threshold_uncertainty_score":0.1320081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03856242404662938,"score_gpt":0.3007432889961295,"score_spread":0.2621808649495001,"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."}}