{"id":"W3197219565","doi":"","title":"Designing, optimizing, and testing of a river hydrokinetic prototype turbine system for remote northern communities","year":2020,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbine; Marine engineering; Environmental science; Systems engineering; Engineering; Remote sensing; Environmental resource management; Geography; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004342385,0.0003939801,0.0003658464,0.0002423932,0.0004569815,0.0003724859,0.0008383815,0.000413949,0.002626388],"category_scores_gemma":[0.0004627952,0.0001877016,0.000301605,0.0001752706,0.000275574,0.0004631063,0.0002802543,0.0002790039,0.0007067864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003640715,"about_ca_system_score_gemma":0.0005399184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461596,"about_ca_topic_score_gemma":0.002763382,"domain_scores_codex":[0.9997569,0.00003531985,0.00001475162,0.00004745604,0.0001149746,0.00003055239],"domain_scores_gemma":[0.9996732,0.0000324633,0.00003561454,0.00004719307,0.0001650505,0.00004643133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000806455,0.0005374759,0.01133174,0.000841046,0.00005902604,0.001112154,0.000535112,0.0393952,0.8266393,0.000822017,0.004159726,0.1137608],"study_design_scores_gemma":[0.0007415887,0.01140523,0.05156955,0.00009455204,0.0002031353,0.001435604,0.0008984508,0.203172,0.693243,0.0005598881,0.0364914,0.0001854705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9149036,0.0001157913,0.07715932,0.0001353977,0.0000688993,0.0006954794,0.0003682069,0.001168762,0.005384445],"genre_scores_gemma":[0.951543,0.00005756634,0.04338286,0.00002974473,0.000007873027,0.0002679,0.000286768,0.00007983778,0.00434459],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9985384,"threshold_uncertainty_score":0.008786142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162613762356911,"score_gpt":0.1957150866852078,"score_spread":0.1740889490616387,"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."}}