{"id":"W4288337695","doi":"","title":"Development and cost analysis of solar micro-reactor arrays for hydrogen production","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Hydrogen production; Production (economics); Hydrogen; Cost analysis; Environmental science; Process engineering; Computer science; Nuclear engineering; Engineering physics; Materials science; Engineering; Chemistry; Operations research","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":[0.000420257,0.0003469042,0.0003576824,0.0004465245,0.0002145536,0.0006223707,0.0006754288,0.0004792595,0.004225498],"category_scores_gemma":[0.001135319,0.0002476224,0.0004445861,0.0005115833,0.0001546406,0.0006096099,0.0002192952,0.0003040423,0.0004130805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730901,"about_ca_system_score_gemma":0.0005315649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002289281,"about_ca_topic_score_gemma":0.003713198,"domain_scores_codex":[0.999651,0.00008284915,0.000008428084,0.00003210506,0.0001879497,0.00003765757],"domain_scores_gemma":[0.9992874,0.000353859,0.00005625195,0.0000528351,0.0002311359,0.00001856138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009463808,0.0001930745,0.003549971,0.0006579338,0.00008263699,0.0001665197,0.00002967779,0.7762503,0.08893281,0.004969328,0.001822477,0.1223989],"study_design_scores_gemma":[0.00006551666,0.001135169,0.006283341,0.00001727597,0.0000934488,0.0001189405,0.00005817932,0.8728424,0.1129361,0.001732676,0.004693804,0.00002317485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7975516,0.003980005,0.151711,0.0006582282,0.0001205722,0.0003161139,0.001172281,0.0009668336,0.04352327],"genre_scores_gemma":[0.9660393,0.0004396513,0.02666769,0.00002511374,0.00001548863,0.00008804732,0.0002391784,0.00006390831,0.006421733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004225498,"threshold_uncertainty_score":0.01413566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196064439346165,"score_gpt":0.2300892120460837,"score_spread":0.2081285676526221,"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."}}