{"id":"W2940659993","doi":"","title":"L'effet du patron de répartition des coupes et des variables du milieu sur les pertes par chablis dans les lisières : cas de la pessière à mousses de l'Est","year":2008,"lang":"fr","type":"article","venue":"Corpus Université Laval (Université Laval)","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics","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":[0.001689524,0.0007106352,0.0007917141,0.001082961,0.001271594,0.001976766,0.0007766696,0.0007384053,0.002952471],"category_scores_gemma":[0.001949154,0.0005209069,0.0008374171,0.001137758,0.000834312,0.0005230982,0.0006135125,0.0007215459,0.0006334969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005254817,"about_ca_system_score_gemma":0.002821472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3334321,"about_ca_topic_score_gemma":0.6322085,"domain_scores_codex":[0.9989531,0.0001472796,0.00004456504,0.0002094659,0.0005052345,0.0001402909],"domain_scores_gemma":[0.9976308,0.0005907243,0.0003225807,0.0001068058,0.001158856,0.0001903023],"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":[0.005463771,0.0007589906,0.3830722,0.002145404,0.0006658683,0.0004609696,0.003473842,0.02608997,0.4002876,0.0006661125,0.001270068,0.1756451],"study_design_scores_gemma":[0.0000663322,0.0055798,0.9042999,0.0002142419,0.0003868413,0.000143798,0.002931218,0.01027623,0.06506734,0.0002011647,0.01072448,0.0001085458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922175,0.0012191,0.002218735,0.00008746255,0.00002615819,0.0001131088,0.0004827383,0.00003658413,0.003598543],"genre_scores_gemma":[0.9776642,0.001182129,0.006005622,0.00009888753,0.000009559199,0.0001154285,0.0006454561,0.00003822086,0.01424046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3334321,"threshold_uncertainty_score":0.6629826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464676399559296,"score_gpt":0.1819049876312186,"score_spread":0.1672582236356257,"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."}}