{"id":"W3091107793","doi":"10.2478/rtuect-2020-0072","title":"Solar Electricity Over Three Continents","year":2020,"lang":"en","type":"article","venue":"Environmental and Climate Technologies","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Context (archaeology); Solar energy; Population; Natural resource economics; Fossil fuel; Electricity; Carbon footprint; Energy planning; Urbanization; Global warming; Geography; Environmental protection; Climate change; Environmental planning; Greenhouse gas; Economic growth; Engineering; Economics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001371102,0.00008731705,0.00007847375,0.00001716847,0.00005114607,0.00001289629,0.00007338553,0.00007551118,0.00003581936],"category_scores_gemma":[0.000002439905,0.00008029895,0.00001620742,0.00004196765,0.00004658999,0.00007553191,0.00007864153,0.0000957887,0.000008701114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001294743,"about_ca_system_score_gemma":3.729766e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000105871,"about_ca_topic_score_gemma":0.000001126926,"domain_scores_codex":[0.9996312,0.000001653866,0.00007221661,0.0001057375,0.00005097741,0.0001382647],"domain_scores_gemma":[0.9999003,0.000004597534,0.0000119498,0.00006573196,3.893456e-7,0.00001700578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007293512,0.0001241415,0.4752957,0.0001806538,0.000180216,0.00003191881,0.000234812,0.05308877,0.2541099,0.004808107,0.00196582,0.2099071],"study_design_scores_gemma":[0.001677859,0.0003871328,0.1328679,0.00003641511,0.00007813031,0.00001894201,0.0007207007,0.5756873,0.2667908,0.003011828,0.01744467,0.001278283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954278,0.0008536319,0.001900622,0.0002106205,0.00002754019,0.00005026463,0.000009825182,0.001228888,0.0002907818],"genre_scores_gemma":[0.9970418,0.002400198,0.0004613207,0.00005638553,0.000007531854,0.000008236022,0.000009800926,0.0000112919,0.000003397141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5225986,"threshold_uncertainty_score":0.3274496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005207384745741635,"score_gpt":0.1547295885227875,"score_spread":0.1495222037770458,"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."}}