{"id":"W4378188212","doi":"10.1016/j.ecmx.2023.100397","title":"Small modular reactors for green remote mining: A multi-objective optimization from a sustainability perspective","year":2023,"lang":"en","type":"article","venue":"Energy Conversion and Management X","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"Atomic Energy of Canada Limited","keywords":"Renewable energy; Nuclear power; Environmental science; Wind power; Modular design; Diesel generator; Engineering; Process engineering; Automotive engineering; Diesel fuel; Computer science; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000298635,0.0002901212,0.0003189143,0.0003871644,0.0002379153,0.00005385145,0.0002082543,0.0001333946,0.00004404324],"category_scores_gemma":[0.000118524,0.0002917511,0.0001362207,0.0005231025,0.00007635393,0.0001587146,0.0002686841,0.00005738431,0.000007548352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921443,"about_ca_system_score_gemma":0.0000407081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05458633,"about_ca_topic_score_gemma":0.002239764,"domain_scores_codex":[0.998081,0.0001709529,0.0002900696,0.0008122146,0.0002228724,0.0004229181],"domain_scores_gemma":[0.9988376,0.0001494866,0.0001472931,0.0004390703,0.000271486,0.0001550972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000617457,0.0001977065,0.0003736503,0.0003476175,0.001263009,0.000212056,0.004672871,0.8863962,0.0004936944,0.07272411,0.003703008,0.02899857],"study_design_scores_gemma":[0.003227454,0.000116821,0.0007307474,0.00006581459,0.0001444811,0.000001497197,0.0226172,0.8421449,0.001170688,0.00249581,0.1267805,0.0005041465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2933953,0.0005276701,0.6637635,0.003483836,0.002742411,0.002484919,0.00009055759,0.002347103,0.03116477],"genre_scores_gemma":[0.9134341,0.0006318181,0.01282116,0.0003490238,0.00029317,0.0001935574,0.0005315634,0.0001274519,0.07161819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6509423,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164503150581523,"score_gpt":0.2403227187265969,"score_spread":0.2186776872207816,"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."}}