{"id":"W3175504247","doi":"10.3934/energy.2021036","title":"Hydrogen economy transition plan: A case study on Ontario","year":2021,"lang":"en","type":"article","venue":"AIMS energy","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydrogenics (Canada); University of Waterloo","funders":"","keywords":"Hydrogen economy; Hydrogen technologies; Hydrogen vehicle; Renewable energy; Greenhouse gas; Environmental science; Hydrogen production; Software deployment; Power to gas; Hydrogen; Waste management; Energy carrier; Business; Environmental economics; Hydrogen fuel; Engineering; Economics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003859158,0.0001585054,0.00009229202,0.0004617434,0.006423673,0.001444038,0.0007122064,0.0008262698,0.007010494],"category_scores_gemma":[0.0009917406,0.0001184222,0.0002341939,0.0014449,0.0009492782,0.0005227096,0.001032375,0.0006322797,0.0004190111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03748775,"about_ca_system_score_gemma":0.0317676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9710717,"about_ca_topic_score_gemma":0.9905437,"domain_scores_codex":[0.9995709,0.00005157341,0.00000979393,0.00002521566,0.0001012038,0.0002413791],"domain_scores_gemma":[0.9993221,0.00007629997,0.00004741921,0.00002483178,0.0002086736,0.0003206472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001149349,0.001791448,0.323854,0.0006968342,0.0001201805,0.0658479,0.1230008,0.01697917,0.007175482,0.1121634,0.1518856,0.1953358],"study_design_scores_gemma":[0.0001433799,0.0003823002,0.2717951,0.0001958849,0.00005950331,0.002426654,0.3012966,0.007204565,0.001735651,0.00315378,0.4115178,0.00008876458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8923761,0.0002730805,0.0007887001,0.00374061,0.00003538455,0.0003876271,0.001409181,0.00004580626,0.1009435],"genre_scores_gemma":[0.9500977,0.0004485284,0.0009332354,0.0005520951,0.000007291972,0.00009581823,0.0007735369,0.00002258182,0.0470694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03748775,"threshold_uncertainty_score":0.2719939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999177019471616,"score_gpt":0.2166143158632324,"score_spread":0.1966225456685163,"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."}}