{"id":"W4404027058","doi":"10.1007/s11056-024-10071-9","title":"Understory vegetation diversity and composition in intensively managed plantations compared to extensively managed forests","year":2024,"lang":"en","type":"article","venue":"New Forests","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Understory; Agroforestry; Forestry; Vegetation (pathology); Ecology; Diversity (politics); Geography; Species diversity; Environmental science; Canopy; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009462544,0.0001221935,0.0001511692,0.00007454753,0.0006437796,0.00004435514,0.0001174497,0.00007694682,0.0000133827],"category_scores_gemma":[0.00002603331,0.00006509416,0.00004276037,0.0003066107,0.00008957041,0.000190326,0.0003421666,0.0001264401,0.00008591399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006950619,"about_ca_system_score_gemma":0.000006187239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000891693,"about_ca_topic_score_gemma":0.05671734,"domain_scores_codex":[0.9992038,0.00004659621,0.0001186037,0.0003044557,0.0001215488,0.0002049757],"domain_scores_gemma":[0.9996083,0.0001868461,0.00002736957,0.00003135034,0.00005035652,0.00009578066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002046456,0.00006026179,0.9682152,0.00006187898,0.00006610064,0.0002388948,0.004241771,0.0002094639,0.001069212,0.002879391,0.0146716,0.008081585],"study_design_scores_gemma":[0.000216553,0.0001103718,0.9950405,0.00007638708,0.00002884371,0.000009922224,0.0007266246,0.0003450992,0.00002731823,0.002635546,0.0006455064,0.0001373506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951398,0.0002093862,0.00005927422,0.003639773,0.0002202458,0.0003043697,0.00001990775,0.00009132676,0.0003159013],"genre_scores_gemma":[0.9989189,0.0000313177,0.00008611747,0.000600863,0.00005401712,0.000004604207,0.0000729142,7.946456e-7,0.0002304972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05582565,"threshold_uncertainty_score":0.9604951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03976289834138827,"score_gpt":0.2337474402300098,"score_spread":0.1939845418886215,"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."}}