{"id":"W26675379","doi":"10.4253/wjge.v7.i18.1268","title":"A LOW CUT-IN SPEED MARINE CURRENT TURBINE","year":2010,"lang":"en","type":"article","venue":"World Journal of Gastrointestinal Endoscopy","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Memorial University of Newfoundland","keywords":"Marine engineering; Turbine; Wind power; Renewable energy; Marine energy; Engineering; Lift (data mining); Flume; Environmental science; Mechanical engineering; Flow (mathematics); Electrical engineering; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004000125,0.0003742634,0.0005289523,0.001110501,0.0007211136,0.0008506617,0.0007404918,0.0009406651,0.01484465],"category_scores_gemma":[0.0008128886,0.0002142382,0.0003288021,0.0007190327,0.000389563,0.001030373,0.0005966065,0.0006659454,0.005893856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003968723,"about_ca_system_score_gemma":0.0005851798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009042973,"about_ca_topic_score_gemma":0.002166292,"domain_scores_codex":[0.9995931,0.00003220378,0.00002613798,0.0000641532,0.0002500424,0.00003446412],"domain_scores_gemma":[0.9996132,0.00006334022,0.00003510813,0.00005248045,0.0001883592,0.00004739532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007602077,0.0001780319,0.0176575,0.001202084,0.00005542401,0.001462183,0.0004439106,0.002033097,0.3497586,0.01090492,0.03820232,0.5773418],"study_design_scores_gemma":[0.0003965033,0.001890784,0.04970909,0.0003155179,0.0002092333,0.003651939,0.0006673287,0.02719878,0.1860517,0.005249195,0.7244964,0.0001634957],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3134225,0.01015982,0.4018675,0.005483336,0.006219258,0.002121299,0.004057385,0.00835475,0.248314],"genre_scores_gemma":[0.7662986,0.001952328,0.1223902,0.001372544,0.0004742623,0.0005337016,0.002164074,0.0002974077,0.1045169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01484465,"threshold_uncertainty_score":0.04966033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00948211188892793,"score_gpt":0.2466685567269238,"score_spread":0.2371864448379958,"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."}}