{"id":"W3166472020","doi":"","title":"Caught in Crossfire: Les Enjeux Interjuridictionnels de la Gestion de l’Eau Agricole dans le Bassin Versant de da Rivière des Outaouais (Caught in Crossfire: Interjurisdictional Agricultural Water Management Challenges in the Ottawa River Watershed)","year":2019,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Geography; Context (archaeology); Watershed; Forestry; Watershed management; Political science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001480041,0.0001649909,0.0002058486,0.0002996675,0.009162049,0.004032995,0.001191163,0.001577196,0.00569596],"category_scores_gemma":[0.002692284,0.0001818263,0.0002023915,0.000665091,0.004690027,0.001829005,0.003006665,0.002324306,0.0002321643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01504182,"about_ca_system_score_gemma":0.02224064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7378023,"about_ca_topic_score_gemma":0.9434693,"domain_scores_codex":[0.9987238,0.0002841779,0.00004066353,0.000158984,0.0001827465,0.0006095351],"domain_scores_gemma":[0.9980527,0.0005117385,0.0003661326,0.00009681292,0.0003974792,0.00057521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002988331,0.000258454,0.4253017,0.000507396,0.00008408044,0.007501924,0.3336494,0.00167552,0.006563434,0.08452354,0.03770929,0.1019265],"study_design_scores_gemma":[0.00001329177,0.0001415743,0.3347014,0.0003309789,0.00003935969,0.0006264408,0.5321549,0.0005144761,0.001473055,0.004333488,0.1255909,0.00008017134],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320857,0.001099033,0.0007864963,0.025015,0.0001493478,0.00005199407,0.0002198042,0.00001318378,0.04057951],"genre_scores_gemma":[0.9802877,0.0007416797,0.0005346581,0.001274795,0.0000220488,0.0000300695,0.00006607368,0.000008142257,0.0170347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2621977,"threshold_uncertainty_score":0.5274837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418468994495775,"score_gpt":0.2380807383141041,"score_spread":0.2238960483691464,"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."}}