{"id":"W7038400709","doi":"","title":"Governments of Canada and Quebec Support the Development of Cutting-Edge Wood Fibre Technology","year":2017,"lang":"en","type":"other","venue":"","topic":"Ginger and Zingiberaceae research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Production (economics); Sustainability; Public policy","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":[0.001960566,0.0008116504,0.0004158841,0.002661656,0.003161423,0.002598925,0.001218183,0.001415585,0.08869215],"category_scores_gemma":[0.002600374,0.0003016853,0.0009221384,0.002800232,0.0008831355,0.0009057641,0.00129694,0.001425279,0.009702276],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02216727,"about_ca_system_score_gemma":0.09610713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9530624,"about_ca_topic_score_gemma":0.9832454,"domain_scores_codex":[0.9983374,0.00006582391,0.00002260954,0.00007949955,0.001030084,0.0004646395],"domain_scores_gemma":[0.9936126,0.0002880132,0.0001419318,0.0002002529,0.00469538,0.001061814],"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":[0.0003440276,0.0003498587,0.00964185,0.0008148939,0.00006678597,0.0004429769,0.0003587255,0.001092923,0.01140944,0.03669176,0.5716066,0.3671801],"study_design_scores_gemma":[0.00003427346,0.00005858649,0.01693992,0.0002214838,0.0000252509,0.00007440588,0.0002970323,0.0005918837,0.003159924,0.001085036,0.9774913,0.00002087128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01706763,0.01420815,0.006839827,0.01731202,0.001115397,0.0007497991,0.02148559,0.001587306,0.9196344],"genre_scores_gemma":[0.05735641,0.01325527,0.0149026,0.003575198,0.0001106397,0.000126143,0.01065949,0.0004099792,0.8996041],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9778327,"threshold_uncertainty_score":0.2967048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06647988276382599,"score_gpt":0.4081519591573896,"score_spread":0.3416720763935636,"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."}}