{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003331235,0.0002222866,0.0001852507,0.0006506668,0.000238229,0.0003774894,0.0002593226,0.0001740403,0.0002938445],"category_scores_gemma":[0.0003954885,0.0001172912,0.0002219763,0.000427427,0.0002236333,0.0002623608,0.0002632642,0.0001483949,0.0001084563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008439956,"about_ca_system_score_gemma":0.0002201242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01427269,"about_ca_topic_score_gemma":0.04627379,"domain_scores_codex":[0.9998098,0.00002751124,0.00001097554,0.00008082479,0.00004401354,0.00002691261],"domain_scores_gemma":[0.9997327,0.0000569751,0.00008236596,0.0000320725,0.00005078094,0.00004513304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00016293,0.00004923826,0.9209629,0.00001690014,0.00006612841,0.000161167,0.0003908148,0.001434459,0.06757727,0.00004992177,0.00002611612,0.009102197],"study_design_scores_gemma":[7.462684e-7,0.00004018923,0.9988511,6.002025e-7,0.000004598435,0.00003426187,0.00004437445,0.0004148835,0.0005414291,0.000006937043,0.00005895114,0.0000018871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998223,0.00001484218,0.00008107423,4.519881e-7,1.633644e-7,6.561134e-7,0.00002925547,0.000002044773,0.00004926958],"genre_scores_gemma":[0.9993332,0.00001502638,0.0002234233,0.000001426273,5.536981e-7,0.000002850747,0.0002869163,0.000002430686,0.0001340856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01427269,"threshold_uncertainty_score":0.0283792,"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."}}