{"id":"W2117818611","doi":"10.1007/s10342-010-0395-y","title":"Predicting understory maximum shrubs cover using altitude and overstory basal area in different Mediterranean forests","year":2010,"lang":"en","type":"article","venue":"European Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Understory; Basal area; Shrub; Fagaceae; Microsite; Ecology; Environmental science; Forestry; Vegetation (pathology); Canopy; Geography; Biology; Botany; Seedling","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000653781,0.0004194374,0.0003140293,0.0005219265,0.0002134064,0.0005165364,0.0003053617,0.0004007982,0.0004505564],"category_scores_gemma":[0.001225903,0.0002159721,0.0003690661,0.0002489043,0.0001269048,0.0003307459,0.0002088152,0.000161678,0.0001507435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003591914,"about_ca_system_score_gemma":0.0001560054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01365402,"about_ca_topic_score_gemma":0.02290894,"domain_scores_codex":[0.9998758,0.00003869228,0.00001216388,0.00003463224,0.00001300371,0.00002568201],"domain_scores_gemma":[0.9992172,0.0004077727,0.0001255109,0.00004116549,0.00007136384,0.0001369685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002107839,0.00005780885,0.9904425,0.00000733279,0.00009018338,0.00004160834,0.00005119364,0.003637811,0.001214981,0.00001022205,0.00009674359,0.004138866],"study_design_scores_gemma":[0.00001121482,0.00004312134,0.9860282,0.000002606432,0.00002549189,0.00002740172,0.00005739483,0.01350929,0.0002227216,0.00002401619,0.00004553835,0.000003077756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998123,0.00002322673,0.00006501975,0.000003864478,9.3758e-7,8.852464e-7,0.00004094765,0.000003937993,0.00004886782],"genre_scores_gemma":[0.9995442,0.00002042566,0.0001795665,0.000003851129,0.000002700105,0.000001763961,0.0001787831,0.00000214232,0.00006652331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01365402,"threshold_uncertainty_score":0.02714908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05186527518397532,"score_gpt":0.2930181451364786,"score_spread":0.2411528699525033,"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."}}