{"id":"W4410288297","doi":"10.1007/s10584-025-03933-4","title":"An assessment of ocean thermal energy conversion resources and climate change mitigation potential","year":2025,"lang":"en","type":"article","venue":"Climatic Change","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ocean thermal energy conversion; Environmental science; Climate change; Renewable energy; Climate model; Electricity generation; Climate change mitigation; Climatology; Meteorology; Power (physics); Oceanography; Seawater; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002107525,0.0001190992,0.0001859367,0.00005114768,0.0001557138,0.0000412942,0.000134358,0.0000644359,0.0002837656],"category_scores_gemma":[0.000005653338,0.00009744756,0.00003697826,0.0002532786,0.0001336909,0.0003477033,0.00002222913,0.00005271951,0.000001673892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002606431,"about_ca_system_score_gemma":0.00001359507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004499972,"about_ca_topic_score_gemma":0.0001180392,"domain_scores_codex":[0.9991443,0.00006792182,0.000201531,0.0002018265,0.0001708556,0.0002136123],"domain_scores_gemma":[0.99957,0.0000534108,0.000126858,0.0001397131,0.00003781919,0.00007215886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000282883,0.00005011194,0.9311871,0.000512598,0.00002123039,0.000005272229,0.001130348,0.00001889709,0.00008675778,0.0004211634,0.00003584398,0.06650241],"study_design_scores_gemma":[0.0003466364,0.0002047961,0.9218412,0.0001642333,0.00005328398,0.000002313927,0.001404462,0.07514419,0.00008809928,0.0003780257,0.0002475181,0.0001252185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959813,0.001392485,0.0001580372,0.0002953634,0.0001916564,0.000151972,0.00005248358,0.00003833094,0.001738366],"genre_scores_gemma":[0.9974257,0.001117525,0.0007286213,0.0004914698,0.0001094547,0.000002615232,0.0001085602,0.000003093923,0.00001297119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0751253,"threshold_uncertainty_score":0.3973796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343633088355025,"score_gpt":0.2475589051287587,"score_spread":0.2341225742452084,"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."}}