{"id":"W2004117389","doi":"10.1016/j.renene.2009.06.023","title":"Power potential of a split tidal channel","year":2009,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Channel (broadcasting); Tidal power; Kinetic energy; Environmental science; Renewable energy; Flow (mathematics); Extraction (chemistry); Marine energy; Flux (metallurgy); Mechanics; Computer science; Engineering; Physics; Marine engineering; Telecommunications; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006505892,0.0001191671,0.0001596014,0.0001170672,0.00002920764,0.0000153333,0.0001400313,0.00007271502,0.0002253632],"category_scores_gemma":[0.000007065114,0.0001138107,0.00005966844,0.0001939956,0.00001562055,0.00007258397,0.00002192858,0.0000481812,0.00001068717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003821047,"about_ca_system_score_gemma":0.00003913626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004088099,"about_ca_topic_score_gemma":0.00003050397,"domain_scores_codex":[0.9991083,0.00001051739,0.0001734171,0.0001255932,0.0002307052,0.0003514855],"domain_scores_gemma":[0.9996269,0.000007365602,0.00001553543,0.0001807154,0.0000366007,0.0001328888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001961018,0.00003598831,0.000005285155,0.00001028865,0.00003529924,0.00002488896,0.00003474752,0.9527864,0.03345824,0.00108337,0.009745035,0.002760839],"study_design_scores_gemma":[0.001742182,0.0005344853,0.004892844,0.0001200966,0.00001731297,0.00006258686,0.0001231719,0.1401717,0.679515,0.01151925,0.1602973,0.001004009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3280272,0.00326724,0.1083019,0.0003541642,0.00122787,0.000123219,0.00002116801,0.0008150091,0.5578622],"genre_scores_gemma":[0.99458,0.0001500654,0.0008100424,0.00005452057,0.0001014897,0.00000529041,0.0000134732,0.00001633847,0.004268811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8126147,"threshold_uncertainty_score":0.4641064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004843838913708506,"score_gpt":0.1884912571043878,"score_spread":0.1836474181906793,"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."}}