{"id":"W7096989739","doi":"","title":"LOGPLAN II: modele de planification de l&amp;apos;exploitation et de la regeneration forestieres","year":2016,"lang":"en","type":"article","venue":"","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural regeneration; Western europe; Forest regeneration; Component Object Model","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":[0.001749563,0.001227652,0.001175173,0.0007394662,0.0007383448,0.003682067,0.002218221,0.002564873,0.02563864],"category_scores_gemma":[0.004361088,0.001138208,0.001439859,0.001175529,0.0009914817,0.00191316,0.001205179,0.002397519,0.002746541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003970946,"about_ca_system_score_gemma":0.007021497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1136653,"about_ca_topic_score_gemma":0.07215241,"domain_scores_codex":[0.9994572,0.000183951,0.00001927881,0.0001340672,0.00008941849,0.0001160064],"domain_scores_gemma":[0.9976927,0.001614744,0.0001610794,0.00009124824,0.0003035262,0.0001367278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004873792,0.00001753752,0.0005296016,0.00004136101,0.00001293292,0.00002312945,0.00002306029,0.9872815,0.00009664337,0.005275697,0.001992595,0.004657347],"study_design_scores_gemma":[0.00001680234,0.00001852536,0.0002047369,0.00001400316,0.000007820418,0.000006954204,0.00001545656,0.9948286,0.00007823189,0.002941445,0.00185956,0.000007852404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1145423,0.002670489,0.789044,0.004423308,0.00056855,0.0004953135,0.01258801,0.00576902,0.06989889],"genre_scores_gemma":[0.7885359,0.001517006,0.1217394,0.0004294771,0.0001321393,0.001301916,0.006149113,0.0008043928,0.07939064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1136653,"threshold_uncertainty_score":0.2260074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05671687687605614,"score_gpt":0.3266149785587291,"score_spread":0.269898101682673,"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."}}