{"id":"W2901311254","doi":"10.25071/10315/35299","title":"Energy Benefits Of Integrating Transportation Energy With A Net Zero Energy Solar Building Using Captured Waste Hydrogen From Electrochemical Plants And Bio-Gas From Various Bio-Gasification Processes","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Environmental science; Power to gas; Zero-energy building; Process engineering; Zero emission; Hydrogen; Waste management; Energy carrier; Solar energy; Energy (signal processing); Renewable energy; Energy engineering; Chemistry; Engineering; Physics; Electrode","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006533018,0.0003381424,0.0003728829,0.0002945384,0.00006223942,0.00004947561,0.0002118207,0.0003045225,0.000007890562],"category_scores_gemma":[0.00002154024,0.0003394496,0.00003254077,0.0005778782,0.00003925039,0.0001787883,0.00001134203,0.0002319843,7.504656e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002377752,"about_ca_system_score_gemma":0.000158399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06798569,"about_ca_topic_score_gemma":0.1486513,"domain_scores_codex":[0.9983048,0.00001577763,0.0004312046,0.0004162917,0.0002066256,0.0006252626],"domain_scores_gemma":[0.9992585,0.00006296548,0.00008863536,0.0001837527,0.00008355761,0.0003225706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001292401,0.00004901059,0.003191986,0.0002423258,0.0004811043,0.00006497596,0.001317428,0.07847557,0.7993689,0.00940338,0.00001530943,0.1072608],"study_design_scores_gemma":[0.0002615992,0.00006096216,0.0001127189,0.0002658648,0.00002917127,0.0000105512,0.00002459385,0.5066685,0.491533,0.0005605827,0.0001917119,0.0002806719],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82702,0.004983738,0.1676219,0.00002228794,0.00007820552,0.00007002627,0.0001090322,0.00008984155,0.000004931947],"genre_scores_gemma":[0.9872481,0.0002099332,0.01200353,0.00003401802,0.0001927876,0.00003068439,0.0001975935,0.00008295821,4.097485e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4281929,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004277120882101373,"score_gpt":0.1756760836769773,"score_spread":0.1713989627948759,"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."}}