{"id":"W2774248921","doi":"10.2749/222137810796063328","title":"Maximizing Waters of the Niagara River for Power Generation: Challenges Constructing the Niagara Tunnel Intake Approach","year":2010,"lang":"en","type":"article","venue":"Report","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydroelectricity; Electricity generation; Hydrology (agriculture); Power station; Environmental science; Water resource management; Engineering; Power (physics); Geotechnical engineering; Electrical 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":[0.0004753631,0.0003258661,0.000264317,0.0002881767,0.003756343,0.00343715,0.00110225,0.001141193,0.004165382],"category_scores_gemma":[0.001053114,0.0003894592,0.0002568477,0.0005010193,0.001396901,0.001855599,0.00172207,0.0008911666,0.001132694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003615816,"about_ca_system_score_gemma":0.01349484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1943983,"about_ca_topic_score_gemma":0.5431975,"domain_scores_codex":[0.9994548,0.0001312339,0.00002299914,0.00007467985,0.0001973773,0.0001188441],"domain_scores_gemma":[0.9993833,0.00006684275,0.00003595087,0.00007056448,0.0002850841,0.0001581846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002511007,0.0002940652,0.04543952,0.001029376,0.00004186009,0.002827529,0.009477706,0.07139701,0.03358594,0.1730715,0.05985935,0.602725],"study_design_scores_gemma":[0.0000554135,0.0004161625,0.02340809,0.000665407,0.00004681207,0.001771399,0.04472309,0.05390019,0.0161232,0.02594087,0.8327729,0.0001765584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4409076,0.005491082,0.1934351,0.02586745,0.0003677526,0.001355713,0.000686513,0.001082795,0.3308061],"genre_scores_gemma":[0.7491028,0.004939528,0.1731013,0.0006143523,0.00006234621,0.0004206598,0.0003506435,0.0002234493,0.07118499],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1943983,"threshold_uncertainty_score":0.3865334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984989502253908,"score_gpt":0.2093412306893023,"score_spread":0.1894913356667632,"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."}}