{"id":"W2905215864","doi":"10.20944/preprints201812.0127.v1","title":"Micro hydro Power Plant Shanping (Site Reconstruction)","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Erasmus+; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Taiwan Forestry Research Institute; Terry Fox Research Institute","keywords":"Hydroelectricity; Power station; Civil engineering; Hydro power; Natural (archaeology); Power (physics); Engineering; Unit (ring theory); Architectural engineering; Environmental resource management; Geography; Environmental science; Archaeology; Electrical engineering; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004808065,0.0005540684,0.0005261684,0.0003580429,0.0001138272,0.00006901952,0.0006368366,0.0004793638,0.005194679],"category_scores_gemma":[0.0001183173,0.0006788788,0.0002441667,0.0001816005,0.0001407124,0.0001959157,0.001130327,0.001119087,0.009586799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004882198,"about_ca_system_score_gemma":0.00007978582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003237729,"about_ca_topic_score_gemma":0.00001240521,"domain_scores_codex":[0.997315,0.00006620014,0.0007833331,0.000970341,0.0003234563,0.0005416407],"domain_scores_gemma":[0.9978372,0.00008040799,0.0002196501,0.001505585,0.0001541624,0.0002029839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001755874,0.0002711177,0.6312572,0.002681651,0.002558915,0.0001218655,0.01482357,0.06665361,0.2686967,0.001173484,0.007386246,0.004200024],"study_design_scores_gemma":[0.002209842,0.00006873411,0.4457793,0.003009306,0.0003428906,0.0006187962,0.0005234985,0.01390589,0.3483706,0.01853332,0.1605055,0.006132277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427363,0.0001819378,0.0005665868,0.00008555938,0.005948791,0.0005658302,0.0002088557,0.001183319,0.04852287],"genre_scores_gemma":[0.9959829,0.0001433088,0.001837048,0.00009626498,0.0005902768,0.0001814452,0.0001808977,0.0001589483,0.0008288491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1854779,"threshold_uncertainty_score":0.9995663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05307965953174625,"score_gpt":0.2790054315885217,"score_spread":0.2259257720567754,"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."}}