{"id":"W1985328233","doi":"10.4141/cjps2012-143","title":"Impact of land classification on potential warm season grass biomass production in Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Miscanthus; Panicum virgatum; Biomass (ecology); Arable land; Productivity; Marginal land; Environmental science; Agroforestry; Agronomy; Energy crop; Bioenergy; Geography; Biofuel; Agriculture; Ecology; Biology; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003595071,0.0003440262,0.0002982873,0.0008797864,0.002276259,0.001312644,0.0007640168,0.0002037855,0.002568583],"category_scores_gemma":[0.001282022,0.0002149013,0.0004385066,0.002481038,0.0006990829,0.0002807153,0.0006964404,0.00025206,0.0002675899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0490541,"about_ca_system_score_gemma":0.04610254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979377,"about_ca_topic_score_gemma":0.9994084,"domain_scores_codex":[0.9992709,0.00004613775,0.00002381425,0.00007602181,0.0002901491,0.0002929581],"domain_scores_gemma":[0.9980946,0.0001298441,0.0002213157,0.0000464548,0.0009959812,0.0005117595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005402931,0.00004896926,0.9553973,0.0001830084,0.0001316618,0.0006033616,0.001945828,0.002157979,0.004827206,0.0008237209,0.005494995,0.02784573],"study_design_scores_gemma":[0.00001006528,0.00003013307,0.9920855,0.00003149723,0.00002440315,0.00003984376,0.00175998,0.0008138455,0.0002401308,0.00006432748,0.004888655,0.0000115927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813102,0.0009344626,0.0002304213,0.000472507,0.00001579598,0.00004839507,0.0054647,0.00002707042,0.01149649],"genre_scores_gemma":[0.9936545,0.0004977121,0.0002703767,0.00005583866,0.00000209334,0.00001227226,0.001691512,0.00001052572,0.003805078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0490541,"threshold_uncertainty_score":0.3559141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796552892468479,"score_gpt":0.1930154918072301,"score_spread":0.1750499628825453,"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."}}