{"id":"W7017613006","doi":"","title":"Canadian pension fund taps Europe’s green hydrogen hopes with Dutch investment","year":2023,"lang":"en","type":"other","venue":"","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Pension fund; Pension; Sovereign wealth fund; Government (linguistics); Investment fund","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":[0.002531848,0.0007604362,0.0004617145,0.001447043,0.004175767,0.008242866,0.001530975,0.008535957,0.1379266],"category_scores_gemma":[0.007497867,0.0004093629,0.0009623056,0.001413872,0.0009855105,0.002136076,0.003084381,0.003957452,0.02952893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02145897,"about_ca_system_score_gemma":0.06360073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7679445,"about_ca_topic_score_gemma":0.8674297,"domain_scores_codex":[0.9968495,0.0001089392,0.00004167885,0.0001216501,0.001928569,0.0009496344],"domain_scores_gemma":[0.9975771,0.0001279824,0.00005025497,0.0001029715,0.001161577,0.0009800212],"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":[0.00003292957,0.00001437315,0.0001554611,0.00002568099,0.000004868032,0.00003920415,0.00003599738,0.00008623529,0.00008330685,0.02580578,0.9609625,0.01275372],"study_design_scores_gemma":[0.00001030835,0.000003504243,0.0003844682,0.00003576022,0.000002741514,0.00001041164,0.00005706962,0.00009039674,0.00007589857,0.001425848,0.9978974,0.000006079623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002246459,0.003827336,0.0006488702,0.06629679,0.009035373,0.0001209311,0.006295244,0.0004193866,0.9111096],"genre_scores_gemma":[0.01402886,0.00150056,0.0005952894,0.008161215,0.0004561864,0.00004010382,0.001773808,0.0002995649,0.9731444],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7679445,"threshold_uncertainty_score":0.4668442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246693441980615,"score_gpt":0.2066089760504653,"score_spread":0.1941420416306592,"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."}}