{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001808581,0.001191602,0.0005977728,0.002697714,0.005877607,0.005122774,0.001818402,0.007080658,0.2362669],"category_scores_gemma":[0.003701625,0.0008554356,0.001247184,0.001032793,0.001499479,0.001354845,0.002019042,0.004985687,0.06424205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01997575,"about_ca_system_score_gemma":0.09431787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.883693,"about_ca_topic_score_gemma":0.9465842,"domain_scores_codex":[0.9966353,0.00006777127,0.00003362343,0.0001310036,0.002382621,0.0007498353],"domain_scores_gemma":[0.994158,0.0002098371,0.00005420112,0.0001534352,0.003530161,0.001894341],"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":[0.00004324512,0.00006622478,0.0002957842,0.0000352674,0.000004402903,0.00004575141,0.00001757398,0.00009718569,0.0004796712,0.003307977,0.9791955,0.01641149],"study_design_scores_gemma":[0.00002921175,0.00002394363,0.001174966,0.00003303859,0.000005019102,0.000028111,0.0001131391,0.000391153,0.0003959158,0.0006642328,0.9971265,0.00001462752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004840976,0.001132974,0.002041825,0.02999461,0.005623037,0.0005484237,0.008318861,0.002374593,0.9451247],"genre_scores_gemma":[0.004886766,0.00030541,0.0007236813,0.003690574,0.0001416538,0.00004602912,0.001940415,0.0002328754,0.9880325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2362669,"threshold_uncertainty_score":0.7903915,"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."}}