{"id":"W2755842769","doi":"10.12943/cnr.2017.00007","title":"POTENTIAL OFF-GRID MARKETS FOR SMRS IN CANADA","year":2017,"lang":"en","type":"article","venue":"CNL Nuclear Review","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Cogeneration; Grid; Nuclear power; Environmental economics; Electricity; Business; Base load power plant; Electricity market; Modular design; Distributed generation; Range (aeronautics); Electricity generation; Renewable energy; Power (physics); Economics; Engineering; Computer science; Electrical engineering; Geography","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":[0.0003310542,0.0002790981,0.0001805735,0.00153204,0.001512951,0.002144209,0.0006713473,0.0003677603,0.005507072],"category_scores_gemma":[0.0008781432,0.000156516,0.0003931652,0.002429084,0.0005163717,0.0007231702,0.0003802115,0.0003199193,0.0002184694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05253155,"about_ca_system_score_gemma":0.03286418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908923,"about_ca_topic_score_gemma":0.9950971,"domain_scores_codex":[0.9996421,0.00001794914,0.000006783938,0.00003262187,0.0001662,0.0001342775],"domain_scores_gemma":[0.9995095,0.00007166267,0.00004794532,0.000007901639,0.0002855495,0.00007743094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001257041,0.0003585726,0.2590586,0.001728389,0.0002318212,0.005872371,0.005287984,0.04538804,0.008718047,0.3092704,0.08171102,0.2811177],"study_design_scores_gemma":[0.0001220668,0.0002505378,0.4757245,0.0006617916,0.0002101923,0.001197303,0.02129482,0.04494773,0.00606774,0.01403979,0.4352726,0.0002108446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7629192,0.0108097,0.001577787,0.003815514,0.00003428561,0.0001281046,0.005075414,0.00007090926,0.2155691],"genre_scores_gemma":[0.9667308,0.007084979,0.0006639184,0.0001798277,0.000007629973,0.00001200442,0.00113813,0.00001161001,0.02417117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05253155,"threshold_uncertainty_score":0.3811448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009807922038002737,"score_gpt":0.2172683155078731,"score_spread":0.2074603934698704,"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."}}