{"id":"W2053651330","doi":"10.1385/abab:123:1-3:0765","title":"Assessing the Emerging Biorefinery Sector in Canada","year":2005,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Resources Canada","keywords":"Biorefinery; Biorefining; Business; Agriculture; Process (computing); Biotechnology; Natural resource economics; Biofuel; Economics; Computer science; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006187538,0.000107202,0.00008737569,0.00003495697,0.00005457419,0.0000167394,0.0001109143,0.0001814422,0.00002938801],"category_scores_gemma":[0.000003853277,0.00008012351,0.0000102729,0.0001819841,0.00007595855,0.00002823589,0.00004328685,0.0002735283,0.000003063697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255398,"about_ca_system_score_gemma":0.0000511579,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008212487,"about_ca_topic_score_gemma":0.01350369,"domain_scores_codex":[0.9994586,0.000002846866,0.0001248799,0.0001736635,0.00005307105,0.0001869066],"domain_scores_gemma":[0.9997849,0.00001020716,0.00001858942,0.0001580092,0.000003856413,0.00002447413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002041798,0.000005197749,0.0002031296,0.00005451557,0.000007529771,0.000001942797,0.0000123422,0.00006506655,0.9478617,0.00006425381,0.001045374,0.05067688],"study_design_scores_gemma":[0.0001317307,0.000001622927,0.0002767345,0.000006023844,0.000003088118,0.00001835249,0.000634576,0.001259335,0.9581605,0.00002081056,0.0393657,0.000121487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928828,0.000600482,0.0000309004,0.005031105,0.00009519303,0.00005489579,0.000002134188,0.0001257019,0.001176812],"genre_scores_gemma":[0.9992748,0.0001892473,0.0002242974,0.000168856,0.0001012241,0.000006465215,0.000005375402,0.00000751711,0.00002220342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05055539,"threshold_uncertainty_score":0.9983919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005828157601992062,"score_gpt":0.1896229007643341,"score_spread":0.183794743162342,"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."}}