{"id":"W2321416797","doi":"10.12943/anr.2013.00006","title":"Hydrogen Co-Production From Subcritical Water-Cooled Nuclear Power Plants In Canada","year":2013,"lang":"en","type":"article","venue":"AECL Nuclear Review","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Hydrogen production; Hydrogen; Environmental science; Nuclear engineering; Electricity generation; Nuclear power; Production (economics); Thermal power station; Population; Steam turbine; Process engineering; Waste management; Engineering; Mechanical engineering; Chemistry; Power (physics); Nuclear physics; Thermodynamics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002128981,0.0002388155,0.0001659964,0.0007546311,0.00122818,0.0006420971,0.0005503335,0.0002115226,0.001026693],"category_scores_gemma":[0.0002205639,0.0001278027,0.0001775718,0.001254511,0.0003308614,0.0002847391,0.0003009375,0.0002785675,0.0001736481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01444551,"about_ca_system_score_gemma":0.01042264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9029362,"about_ca_topic_score_gemma":0.9442203,"domain_scores_codex":[0.9997575,0.00001015536,0.000006150436,0.0000333519,0.0001444398,0.0000483386],"domain_scores_gemma":[0.9998723,0.000009212637,0.00000664832,0.000003404586,0.00009438555,0.00001394205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001349525,0.0004077801,0.05269603,0.002802876,0.000199637,0.004452285,0.003504447,0.03685819,0.4151614,0.01656478,0.01259246,0.4534106],"study_design_scores_gemma":[0.0001004648,0.0006657093,0.1557975,0.00028779,0.0002111507,0.0008094642,0.004046329,0.0147204,0.5762469,0.001473366,0.2455039,0.0001371704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9159184,0.01693594,0.003578874,0.0006550528,0.00003670774,0.0001219692,0.0008697224,0.00008765286,0.0617958],"genre_scores_gemma":[0.9736743,0.01115187,0.001687176,0.00003857375,0.000005153968,0.00001311529,0.0004807943,0.00001296835,0.01293616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09706378,"threshold_uncertainty_score":0.1952708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007906092475203293,"score_gpt":0.1948088893694873,"score_spread":0.186902796894284,"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."}}