{"id":"W4387903778","doi":"10.55905/oelv21n10-187","title":"Photovoltaic energy production systems and the carbon market in Maranhao: a case study","year":2023,"lang":"en","type":"article","venue":"OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Solar energy; Environmental science; Electricity generation; Rooftop photovoltaic power station; Automotive engineering; Inverter; Computer science; Environmental economics; Engineering; Power (physics); Electrical engineering; Maximum power point tracking; Voltage; Physics","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":[0.002997274,0.0002121246,0.0004001046,0.00007194535,0.0001723217,0.00008439129,0.0001904608,0.0000713796,0.00008011527],"category_scores_gemma":[0.0002381748,0.000165,0.00005097746,0.0008081026,0.0004861144,0.0001470423,0.0002187948,0.0001739044,0.00000680304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004845105,"about_ca_system_score_gemma":0.0000486066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6557412,"about_ca_topic_score_gemma":0.05035647,"domain_scores_codex":[0.9973235,0.001032329,0.0004495908,0.000579174,0.0001739871,0.0004414817],"domain_scores_gemma":[0.9986711,0.0004764294,0.0001666637,0.0005615821,0.00001115477,0.0001130879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006573967,0.00007795644,0.9900162,0.00002615524,0.00002310206,0.0007679603,0.003876281,0.002223183,0.000258036,0.0000198308,0.001214626,0.001430981],"study_design_scores_gemma":[0.001273987,0.00007921943,0.8316212,0.00001440922,0.00002424005,0.0007265768,0.03166997,0.1252678,0.00001798372,0.0003931831,0.008620013,0.0002914281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896292,0.00007307495,0.000003023146,0.0001055816,0.0001595406,0.0009587104,0.000003089302,0.00007830845,0.008989487],"genre_scores_gemma":[0.9967526,0.00003416812,0.00001914057,0.00009358512,0.00005326193,0.0006400637,0.000001367698,0.00002401616,0.002381837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6053848,"threshold_uncertainty_score":0.9669721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008744636858267903,"score_gpt":0.224957736915919,"score_spread":0.2162131000576511,"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."}}