{"id":"W2596066932","doi":"10.7451/cbe.2017.59.1.1","title":"Évaluation de l’Eau Virtuelle de la Phoeniciculture Algérienne pour sa Meilleure Utilisation.","year":2017,"lang":"fr","type":"article","venue":"Canadian Biosystems Engineering","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art; Political science","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":[0.002489088,0.0007413445,0.0007082054,0.0005915539,0.0008281072,0.002628519,0.0005971299,0.0008614787,0.002730604],"category_scores_gemma":[0.00200921,0.0002036966,0.0009652826,0.0007879253,0.0004353045,0.001040281,0.0007066284,0.0009300697,0.000625502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003277293,"about_ca_system_score_gemma":0.002437704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07419562,"about_ca_topic_score_gemma":0.07153343,"domain_scores_codex":[0.9985065,0.0005300345,0.00007715866,0.0002433824,0.0004557624,0.0001872185],"domain_scores_gemma":[0.9992909,0.0001574609,0.0001038949,0.0000595431,0.0003142416,0.0000739173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002891251,0.001246765,0.09641356,0.001223021,0.001072338,0.0006509487,0.0009012568,0.02609854,0.510298,0.004128825,0.002781739,0.3522939],"study_design_scores_gemma":[0.0002791476,0.003883033,0.5974846,0.0004778607,0.0005164305,0.0006713987,0.002461321,0.01584088,0.2742157,0.001061309,0.1029534,0.0001549238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705117,0.009782572,0.007236129,0.0009393159,0.0001700522,0.00009203351,0.0008274916,0.00009232097,0.01034835],"genre_scores_gemma":[0.9793928,0.003373588,0.009919723,0.0001841911,0.00004288642,0.00008448579,0.0006621668,0.0000443003,0.006295923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07419562,"threshold_uncertainty_score":0.1475275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278553707795423,"score_gpt":0.2157467519891321,"score_spread":0.1929612149111779,"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."}}