{"id":"W2062244759","doi":"10.4267/2042/21902","title":"Une analyse de la variabilité des volumes de bois mort observée dans les haies de Vénétie (Italie)","year":2008,"lang":"fr","type":"article","venue":"Revue Forestière Française","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Infrastructure Canada","keywords":"Art; Geography; Humanities","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008697143,0.0005528667,0.0005164588,0.0001461289,0.0008440552,0.0001251259,0.0008685858,0.0004485513,0.002554097],"category_scores_gemma":[0.0005235618,0.0006048832,0.0004004778,0.001010595,0.004018723,0.0006175639,0.0003503052,0.0004837005,0.001053277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000974546,"about_ca_system_score_gemma":0.0001742734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1949274,"about_ca_topic_score_gemma":0.03216632,"domain_scores_codex":[0.9965631,0.0004276735,0.0005686462,0.0006625594,0.000364285,0.00141368],"domain_scores_gemma":[0.9979495,0.0004050987,0.000192747,0.000830636,0.00002639315,0.000595575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004302212,0.0003595879,0.8925617,0.0004149054,0.0001190727,0.0005717982,0.02357535,0.04433464,0.0005661971,0.003789143,0.023441,0.01022357],"study_design_scores_gemma":[0.0005100996,0.0001636932,0.8208135,0.000252545,0.0003490823,0.000354996,0.0002704252,0.04650788,0.000278686,0.00578877,0.1240917,0.0006186019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523218,0.003702072,0.002996738,0.002131971,0.0002177435,0.0004105245,0.00009042304,0.0001676439,0.03796109],"genre_scores_gemma":[0.917967,0.001882889,0.01318061,0.0001792749,0.0004976445,0.00005356358,0.00003395894,0.00009292723,0.0661121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1627611,"threshold_uncertainty_score":0.9997245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517573276305394,"score_gpt":0.2433255965372116,"score_spread":0.2281498637741577,"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."}}