{"id":"W2245113872","doi":"10.1109/epec.2015.7379996","title":"BioGenerator - effect of physicochemical parameters on performance","year":2015,"lang":"en","type":"article","venue":"","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Scalability; Electrification; Electricity; Watt; Stability (learning theory); Hydrogen; Computer science; Volumetric flow rate; Process engineering; Energy storage; Environmental science; Nuclear engineering; Electrical engineering; Thermodynamics; Chemistry; Engineering; Power (physics); Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008123535,0.0004602137,0.0005418156,0.0002281153,0.0001708598,0.0006319378,0.0003782955,0.0005175642,0.001976965],"category_scores_gemma":[0.001786389,0.0002608919,0.0002702781,0.00040949,0.0002738415,0.0005989439,0.0002691733,0.0004463679,0.0005739899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000227313,"about_ca_system_score_gemma":0.0002073267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000662664,"about_ca_topic_score_gemma":0.0008900601,"domain_scores_codex":[0.9994268,0.0001151163,0.00008546462,0.0001413445,0.0001529287,0.0000783283],"domain_scores_gemma":[0.9987835,0.0006043977,0.0001634368,0.0001173342,0.0002551599,0.00007610759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000289246,0.00003834557,0.0003052508,0.00007119069,0.00001461408,0.00005131489,0.00003474415,0.0003187987,0.9969696,0.0000237961,0.00003112254,0.001851852],"study_design_scores_gemma":[0.000006413281,0.0003690058,0.001454522,0.00000420073,0.00001093678,0.00003376594,0.00001767342,0.0006106757,0.9971475,0.000007675745,0.0003309108,0.00000669894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963375,0.001162064,0.0009912002,0.00004847081,0.00002399035,0.00002889839,0.0003141311,0.0000667923,0.001026921],"genre_scores_gemma":[0.995822,0.0006613897,0.001623404,0.00003309899,0.000009322403,0.00003926062,0.0003799922,0.00007879567,0.00135275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001976965,"threshold_uncertainty_score":0.006613612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914764549994784,"score_gpt":0.2330042259461209,"score_spread":0.2138565804461731,"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."}}