{"id":"W6988091079","doi":"","title":"Why Germany is betting on Canadian clean energy tech","year":2024,"lang":"en","type":"other","venue":"","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Clean technology; High tech; Clean energy; Energy (signal processing); Energy policy; Renewable energy","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":[0.00123955,0.0004237902,0.000309042,0.001587121,0.008645706,0.00710773,0.0009729813,0.0059835,0.07025531],"category_scores_gemma":[0.004979081,0.0003050891,0.0005475523,0.002303633,0.001937731,0.001944162,0.001595518,0.003283676,0.006704924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03556734,"about_ca_system_score_gemma":0.04961993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.96343,"about_ca_topic_score_gemma":0.9784385,"domain_scores_codex":[0.9972004,0.0001436108,0.00003181691,0.0001686481,0.001063213,0.001392315],"domain_scores_gemma":[0.9978573,0.0002988532,0.00006910128,0.0001101283,0.001120916,0.0005437451],"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":[0.00003609811,0.00002124348,0.002451272,0.00003685385,0.00001369145,0.0001412878,0.0003347736,0.0002319059,0.0002143131,0.160992,0.8136948,0.02183183],"study_design_scores_gemma":[0.000008066982,0.000004606406,0.006117077,0.00009404829,0.00001257587,0.00004132105,0.0008350553,0.0002736587,0.0002803926,0.005014292,0.9872914,0.0000275671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01410753,0.002770389,0.0003269899,0.1038544,0.00152528,0.00002671061,0.002693339,0.0001473474,0.874548],"genre_scores_gemma":[0.1858311,0.002666718,0.0005366877,0.04318104,0.0004258038,0.00003296033,0.001328965,0.0002813936,0.7657153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07025531,"threshold_uncertainty_score":0.2580603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130892504700399,"score_gpt":0.19563659650903,"score_spread":0.184327671462026,"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."}}