{"id":"W2504746592","doi":"","title":"Évaluation des pertes de phosphore agricole par ruissellement, drainage et lessivage dans un contexte du Québec : application de l'outil LoPhos","year":2005,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Environmental science; Geography","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0006612722,0.00049729,0.0005109473,0.0005445096,0.0009653668,0.0009308002,0.0004785125,0.0005833919,0.00198416],"category_scores_gemma":[0.0004446242,0.0002350623,0.0004077305,0.0006803987,0.0004919924,0.0002776127,0.0003428364,0.0004660923,0.0002476209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005114724,"about_ca_system_score_gemma":0.003013284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6856068,"about_ca_topic_score_gemma":0.864124,"domain_scores_codex":[0.9995182,0.00004253229,0.00001608794,0.0001024643,0.0002571837,0.00006359742],"domain_scores_gemma":[0.9995027,0.00004496371,0.00004518776,0.0000148918,0.0003603994,0.00003185207],"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":[0.0005396989,0.0002077743,0.02142954,0.0006778218,0.00008524452,0.0002544068,0.0005815359,0.00526722,0.9376078,0.0002105005,0.0004342782,0.03270403],"study_design_scores_gemma":[0.00007362667,0.003146329,0.2332332,0.0001268703,0.0003842827,0.0001928269,0.001910337,0.01836476,0.7238973,0.00009289068,0.01847459,0.0001029375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915152,0.0008034118,0.003197644,0.00008547001,0.00001465229,0.0001208887,0.000527215,0.00006365492,0.003671815],"genre_scores_gemma":[0.9687703,0.001228042,0.008838962,0.0001051197,0.000003473473,0.0001176396,0.0006220409,0.0000453461,0.02026913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3143932,"threshold_uncertainty_score":0.6324893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00983509096106138,"score_gpt":0.2086945021041877,"score_spread":0.1988594111431263,"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."}}