{"id":"W4395675237","doi":"10.3390/en17092055","title":"A Comprehensive Resource Assessment for Wind Power Generation on the Rural Island of Sibuyan, Philippines","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Wind power; Resource (disambiguation); Natural resource economics; Rural electrification; Electricity generation; Environmental science; Environmental resource management; Environmental planning; Power (physics); Geography; Environmental economics; Engineering; Computer science; Economics; Electricity; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0007571089,0.0006753313,0.0002745575,0.002447966,0.0005756615,0.001168189,0.0003870449,0.0003386075,0.001914065],"category_scores_gemma":[0.001146117,0.0001501644,0.0004005633,0.002512569,0.0002751178,0.0007974196,0.0008526467,0.0002973858,0.0001542155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233576,"about_ca_system_score_gemma":0.00148297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03981716,"about_ca_topic_score_gemma":0.08214119,"domain_scores_codex":[0.9996148,0.0001437091,0.00002005106,0.00003620723,0.0001394926,0.00004563603],"domain_scores_gemma":[0.9994813,0.0001322564,0.00006825983,0.0000255416,0.0002307745,0.00006193254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002454275,0.0003352073,0.3030739,0.001101758,0.0004567771,0.005634638,0.004134494,0.4512475,0.01462979,0.007901426,0.007180783,0.2040584],"study_design_scores_gemma":[0.00003449925,0.0005399543,0.4428599,0.0004387761,0.0002142329,0.0007483611,0.02685381,0.4936463,0.004958354,0.005347834,0.02423421,0.0001239369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964604,0.0003875885,0.01548372,0.0003941674,0.00001081715,0.0002795268,0.00240649,0.00008527614,0.01634842],"genre_scores_gemma":[0.9855,0.0003192091,0.01117666,0.00002396154,0.000006101192,0.0001110831,0.001261713,0.00001648438,0.00158474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03981716,"threshold_uncertainty_score":0.07917076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076990309504056,"score_gpt":0.2643619628990983,"score_spread":0.2435920598040577,"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."}}