{"id":"W2005110643","doi":"10.3390/f5123107","title":"Biomass and Volume Yield in Mature Hybrid Poplar Plantations on Temperate Abandoned Farmland","year":2014,"lang":"en","type":"article","venue":"Forests","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of Regina; Fiducie de Recherche sur la Forêt des Cantons-de-l’Est","funders":"Agriculture and Agri-Food Canada; Ministère des Ressources Naturelles et de la Faune","keywords":"Hybrid; Biomass (ecology); Temperate climate; Biology; Allometry; Productivity; Soil fertility; Selection (genetic algorithm); Agronomy; Yield (engineering); clone (Java method); Ecology; Soil water","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":[0.00009495477,0.0000729223,0.00007400897,0.00001755882,0.00009322482,0.00004831134,0.00005943636,0.00003567857,0.00007895096],"category_scores_gemma":[0.00002038768,0.000028279,0.00001678098,0.00009821372,0.00002419019,0.00004682587,0.00002445588,0.00005636024,0.00003036398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005699695,"about_ca_system_score_gemma":0.000001035318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003209331,"about_ca_topic_score_gemma":0.007167981,"domain_scores_codex":[0.9995081,0.00002440544,0.00008363993,0.0001870962,0.00007079162,0.0001259361],"domain_scores_gemma":[0.9998616,0.00002401642,0.00002520067,0.00003650547,0.00001078551,0.0000419074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004056585,0.0004219358,0.64726,0.00006541215,0.00005149654,0.00003955383,0.0002600637,0.0001279093,0.1453141,0.01322445,0.07039314,0.1224363],"study_design_scores_gemma":[0.0001872218,0.0001553137,0.8948795,0.00001689918,0.000003390783,0.000007117206,0.00002898418,0.0001408533,0.00278779,0.0004543749,0.1012302,0.0001083868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994682,0.00003172021,0.00000617715,0.004223672,0.0001342067,0.00009130374,0.00001560354,0.00003453184,0.0007808583],"genre_scores_gemma":[0.9978943,0.00002631562,0.00001680107,0.0003859664,0.0001164115,0.00001028556,0.00006172607,5.907529e-7,0.001487569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2476195,"threshold_uncertainty_score":0.3999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140235719523347,"score_gpt":0.1966436219640359,"score_spread":0.1852412647688025,"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."}}