{"id":"W6931120828","doi":"10.5281/zenodo.4762923","title":"Sweltsa exquisita","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tributary; Spring (device); Bay; Hydrology (agriculture); Fish <Actinopterygii>","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":[0.0001758906,0.0007751387,0.0003379116,0.001324038,0.00142954,0.0005227881,0.0005852146,0.0005785503,0.03017714],"category_scores_gemma":[0.000385563,0.0002610708,0.0003611114,0.0005201009,0.0007064191,0.001430689,0.001399999,0.0007612308,0.008302976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000794802,"about_ca_system_score_gemma":0.0001669897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007901036,"about_ca_topic_score_gemma":0.02518799,"domain_scores_codex":[0.9998549,0.00001434437,0.00001532397,0.0000571559,0.00003417116,0.00002392937],"domain_scores_gemma":[0.9998494,0.00001727528,0.00006109258,0.00002497343,0.00002794867,0.0000192408],"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":[0.001303339,0.0003582221,0.04956562,0.001831477,0.0001792219,0.007374988,0.006629026,0.001103647,0.1817682,0.009304282,0.04546934,0.6951126],"study_design_scores_gemma":[0.0001363896,0.0008511455,0.3917611,0.001080342,0.0001492806,0.01155881,0.003434375,0.0004823362,0.0112449,0.002917729,0.5763035,0.00008016807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5576168,0.009614697,0.003326165,0.000752503,0.000516645,0.0002901401,0.003600684,0.0009290918,0.4233533],"genre_scores_gemma":[0.9224327,0.001320455,0.002666231,0.0007352724,0.0001171166,0.00006546568,0.001969487,0.00009246246,0.07060079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03017714,"threshold_uncertainty_score":0.1009526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734673309649602,"score_gpt":0.206378342503315,"score_spread":0.189031609406819,"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."}}