{"id":"W7036718017","doi":"","title":"CIB commits $277 million towards biorefinery and Canada's largest electrolyzer","year":2023,"lang":"en","type":"other","venue":"","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biorefinery; Electrolysis; Production (economics); Process (computing); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004381798,0.0001641995,0.0002073429,0.000002246721,0.0001352934,0.00002511429,0.0001437292,0.0001498715,0.001362205],"category_scores_gemma":[0.00001279727,0.00005297375,0.0000403651,0.0001771417,0.00003711639,0.000007088721,0.000100433,0.0001114655,0.00003930561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002847648,"about_ca_system_score_gemma":0.000008136057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9098563,"about_ca_topic_score_gemma":0.9967855,"domain_scores_codex":[0.9991952,0.00001287587,0.0001146198,0.0002814989,0.0001457064,0.0002500653],"domain_scores_gemma":[0.9997223,0.00006674133,0.00005272935,0.00005027931,0.00001424082,0.00009367841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[9.196256e-7,0.00001502491,0.0006939847,0.000003682647,0.00002415869,0.000001849423,4.741786e-7,1.023084e-8,0.0003742669,0.0003133977,0.8981597,0.1004126],"study_design_scores_gemma":[0.00003603132,0.00002563157,0.03222388,0.0000144371,0.00001075929,7.491195e-7,0.00001378974,0.000001927218,0.00002401782,0.00002113571,0.967463,0.0001646401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.031261,0.005350079,0.000004229661,0.04963875,0.0005576212,0.0009318573,0.001479149,0.001573758,0.9092035],"genre_scores_gemma":[0.04766855,0.006865466,0.00006452196,0.002127937,0.001075805,0.0001124322,0.0001809801,0.00004611348,0.9418582],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1002479,"threshold_uncertainty_score":0.9995507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131479903252448,"score_gpt":0.193241525735883,"score_spread":0.1819267267033585,"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."}}