{"id":"W3045512079","doi":"","title":"Biofuels and Bioenergy 2018 - Canadian bioenergy landscape: Key drivers and future potential","year":2019,"lang":"en","type":"article","venue":"Archives in Chemical Research","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biofuel; Bioenergy; Natural resource economics; Renewable energy; Renewable fuels; Agricultural economics; Energy source; Fossil fuel; Biomass (ecology); Environmental science; Engineering; Agroforestry; Waste management; Business; Economics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002274712,0.00012109,0.0001344393,0.0001086184,0.000138301,0.0000870931,0.0002369858,0.0001039942,0.0003926178],"category_scores_gemma":[0.00002766151,0.00005650994,0.00002826439,0.0004354928,0.0003422084,0.00008108755,0.000295552,0.0002740329,0.00002152361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002468676,"about_ca_system_score_gemma":0.00002415584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0162175,"about_ca_topic_score_gemma":0.01425321,"domain_scores_codex":[0.9984803,0.0001035839,0.0001328174,0.0004999177,0.0002397312,0.0005437044],"domain_scores_gemma":[0.9994302,0.0001012052,0.00001853983,0.00009172456,0.00002776617,0.0003305233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007713324,0.00005685546,0.008307205,0.00002371369,0.00002033001,0.00002103579,0.0001875799,0.000002796656,0.6751531,0.009398528,0.001945904,0.3048058],"study_design_scores_gemma":[0.0006372528,0.0002796024,0.08819425,0.00003502222,0.000005255816,0.00002270905,0.001983314,0.0004214612,0.024106,0.004764869,0.879136,0.0004142173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976292,0.0004679539,2.837752e-7,0.01508466,0.0001508337,0.0001305101,0.00001598123,0.00001836032,0.007839453],"genre_scores_gemma":[0.9953935,0.002446186,0.0001485321,0.0002025313,0.0004032408,0.00001072369,0.00005730054,0.000001819091,0.001336221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8771902,"threshold_uncertainty_score":0.9903336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410516225760285,"score_gpt":0.2386597284986225,"score_spread":0.2245545662410197,"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."}}