{"id":"W6884968723","doi":"10.13140/rg.2.2.10809.77923","title":"COMMERCIAL ENERGY GRASS PRODUCTION AND IMPLICATIONS FOR INVASIVE SPECIES IN CANADA","year":2008,"lang":"en","type":"article","venue":"","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Invasive species; Energy (signal processing); Livestock; Productivity; Agriculture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004287932,0.0002318924,0.0001982014,0.001292584,0.003377659,0.002032486,0.0009571699,0.0004188464,0.002695282],"category_scores_gemma":[0.001197115,0.0001481444,0.0002393331,0.002390049,0.001183149,0.0005355414,0.0006118836,0.0005487417,0.0001195091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04573645,"about_ca_system_score_gemma":0.03861964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951338,"about_ca_topic_score_gemma":0.9988236,"domain_scores_codex":[0.9994572,0.00003138357,0.00001334162,0.00005635591,0.0001792957,0.0002623968],"domain_scores_gemma":[0.9982188,0.0001283265,0.0002277618,0.00002974788,0.0008796236,0.0005157091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007455553,0.000219131,0.9319083,0.0001194781,0.00009983528,0.001775844,0.006252116,0.001436841,0.006858154,0.004559156,0.004615316,0.0414102],"study_design_scores_gemma":[0.00001256707,0.00002826725,0.9803813,0.00003627154,0.00002361718,0.0001787471,0.01226723,0.001208298,0.0005550287,0.0003069097,0.004984411,0.00001734887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933383,0.0006068678,0.00006301751,0.0009325045,0.000007736807,0.000007998273,0.0005180341,0.000008023821,0.004517545],"genre_scores_gemma":[0.997116,0.0005386729,0.00009238855,0.00007523216,0.000002801592,0.000002112797,0.0001758656,0.000003795122,0.001993121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04573645,"threshold_uncertainty_score":0.3318427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931366781370049,"score_gpt":0.1952802024721633,"score_spread":0.1559665346584628,"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."}}