{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001427518,0.0009893087,0.000524943,0.002770967,0.009249883,0.01021853,0.001813393,0.002190656,0.04759035],"category_scores_gemma":[0.00209216,0.0003304226,0.0007404382,0.007644868,0.00251809,0.004443584,0.00312141,0.003598928,0.004903739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.104323,"about_ca_system_score_gemma":0.2362914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9858267,"about_ca_topic_score_gemma":0.9917253,"domain_scores_codex":[0.9984138,0.00005341799,0.00002446274,0.00009982242,0.0007952251,0.0006132858],"domain_scores_gemma":[0.9973688,0.00005416934,0.00003922815,0.0000279368,0.001616153,0.000893729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001046558,0.00007182248,0.009001937,0.0009874542,0.00003175968,0.0002837889,0.001110304,0.0007702264,0.001295294,0.1131334,0.6798578,0.1933516],"study_design_scores_gemma":[0.000006167814,0.00001197072,0.01132001,0.0004187227,0.00001465007,0.00005647387,0.003554623,0.0004342524,0.0002447265,0.0063936,0.9775043,0.00004054078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02719721,0.07719425,0.002238855,0.4019595,0.007778223,0.0002308935,0.03161415,0.0007815594,0.4510053],"genre_scores_gemma":[0.3000648,0.2213758,0.01630301,0.03384626,0.001221398,0.000177444,0.03017821,0.0006476273,0.3961855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.104323,"threshold_uncertainty_score":0.7569199,"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."}}