{"id":"W7099412870","doi":"","title":"1 VLH: Development of a new turbine for Very Low Head sites","year":2015,"lang":"en","type":"article","venue":"","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Head (geology); Turbine; Software deployment; Range (aeronautics); Joint (building); Francis turbine; Draft tube","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":[0.0009201821,0.0004996846,0.0006355116,0.0007772686,0.001068453,0.001071757,0.001560809,0.0009824408,0.008710652],"category_scores_gemma":[0.0003869525,0.0004433925,0.0004732255,0.0004784371,0.0009809751,0.001037041,0.001501783,0.0009885767,0.004920278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00245326,"about_ca_system_score_gemma":0.00676929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07136013,"about_ca_topic_score_gemma":0.1229365,"domain_scores_codex":[0.9989674,0.00004148879,0.00002219107,0.0001456747,0.000667096,0.0001561997],"domain_scores_gemma":[0.999543,0.0000116607,0.00002236347,0.0000411213,0.0001996257,0.0001823186],"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":[0.0005404426,0.0005976617,0.02116356,0.0009525865,0.00007107206,0.001792478,0.000696491,0.02461316,0.375737,0.01179423,0.09297219,0.4690692],"study_design_scores_gemma":[0.0008467467,0.003224275,0.1006844,0.0001706529,0.00008277141,0.001773104,0.0004772441,0.06114218,0.1078518,0.001667466,0.7217284,0.000350945],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3564867,0.002166715,0.433167,0.002847648,0.001837685,0.007609359,0.01019367,0.03053776,0.1551535],"genre_scores_gemma":[0.5378528,0.0007590195,0.2725099,0.0007513011,0.0002184445,0.000948636,0.01156656,0.001141357,0.174252],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07136013,"threshold_uncertainty_score":0.1418896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1159270776265217,"score_gpt":0.2539528923188995,"score_spread":0.1380258146923778,"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."}}