{"id":"W6948026789","doi":"10.4224/40002981","title":"Guidelines for simulating hydrokinetic turbine arrays","year":2023,"lang":"en","type":"report","venue":"NPARC","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; National Research Council Canada; Ministère des Ressources naturelles et des Forêts (Québec); Natural Resources Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Consistency (knowledge bases); Hydropower; Resource (disambiguation); Turbine; Mains electricity; Electricity; Extraction (chemistry)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001886608,0.001078086,0.0008568839,0.00119963,0.0008966702,0.001875507,0.004304038,0.002727642,0.0286453],"category_scores_gemma":[0.005512996,0.001032397,0.001099543,0.001651984,0.000380862,0.001336639,0.0009034713,0.001816044,0.01378367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053732,"about_ca_system_score_gemma":0.002095829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003478,"about_ca_topic_score_gemma":0.03068423,"domain_scores_codex":[0.9984577,0.0003221235,0.000189293,0.000103877,0.0008364551,0.00009051869],"domain_scores_gemma":[0.9969906,0.0006567147,0.0001033208,0.0004396522,0.001732403,0.00007742755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000104344,0.0002426673,0.002523767,0.0008241605,0.00005124075,0.0003553391,0.0003668359,0.7121848,0.009388831,0.05290607,0.1437167,0.07733538],"study_design_scores_gemma":[0.0001627057,0.00008114866,0.0009314638,0.0003396448,0.00003573908,0.0001943389,0.0001330233,0.5025525,0.007728412,0.01922004,0.4685247,0.00009631836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006536431,0.0004779341,0.8084381,0.0007562449,0.0005039645,0.002131389,0.04837823,0.01734314,0.1154345],"genre_scores_gemma":[0.05907989,0.001425987,0.83814,0.0004628063,0.00008088341,0.006313349,0.04598959,0.006893999,0.0416136],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0286453,"threshold_uncertainty_score":0.09582812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2376242027942006,"score_gpt":0.3893435747992868,"score_spread":0.1517193720050862,"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."}}