{"id":"W4383477618","doi":"10.59440/ceer-2023-0003","title":"RENEWABLE ENERGY SOURCES - BENEFITS AND DRAWBACKS FROM THE PERSPECTIVE OF THE EXPERIENCES OF CHINA, BRAZIL, CANADA AND THE UNITED STATES","year":2023,"lang":"en","type":"article","venue":"Civil And Environmental Engineering Reports","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Politechnika Swietokrzyska w Kielcach","keywords":"Renewable energy; China; Business; Photovoltaic system; Environmental economics; Environmentally friendly; Wind power; Environmental resource management; Natural resource economics; Economics; Engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001304373,0.0002242352,0.000195714,0.001321903,0.003484037,0.003786243,0.0004681234,0.0004308632,0.001595162],"category_scores_gemma":[0.001842075,0.0001010526,0.0002126447,0.003803871,0.001991868,0.001478093,0.001666505,0.0006540162,0.000078164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0135686,"about_ca_system_score_gemma":0.02066769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.730109,"about_ca_topic_score_gemma":0.9240802,"domain_scores_codex":[0.9990552,0.0002896231,0.0000297229,0.00004346487,0.0003209231,0.0002609343],"domain_scores_gemma":[0.9992083,0.0002016082,0.00008185039,0.00002721801,0.0003446035,0.0001365319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000177637,0.0002183446,0.2284485,0.001809711,0.0002417822,0.01001593,0.2853336,0.003523668,0.003541423,0.1437295,0.02618601,0.2967738],"study_design_scores_gemma":[0.00001016388,0.00007960447,0.1097056,0.001266391,0.0001130785,0.001379399,0.6852925,0.0007718154,0.001601775,0.005845837,0.1938644,0.00006931945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8285969,0.01055935,0.0004540316,0.01636551,0.00006745882,0.00004494249,0.0006768033,0.00001053989,0.1432245],"genre_scores_gemma":[0.9891182,0.006859229,0.0002477661,0.0004970243,0.000007083385,0.000008967707,0.000115193,0.000005112336,0.003141527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.269891,"threshold_uncertainty_score":0.5429608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002318046064552742,"score_gpt":0.1547067835054696,"score_spread":0.1523887374409168,"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."}}