{"id":"W2916885589","doi":"10.5281/zenodo.30558","title":"pylast: Release 1.4.2","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006477734,0.00008227331,0.00008214837,0.00005640888,0.0008242156,0.0003128585,0.000561979,0.00003183841,0.009896903],"category_scores_gemma":[0.0003457912,0.00008051255,0.00003690565,0.0003822628,0.0001308188,0.0001953039,0.000868929,0.0001258787,0.04556793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766333,"about_ca_system_score_gemma":8.195828e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000140596,"about_ca_topic_score_gemma":1.436587e-7,"domain_scores_codex":[0.9987301,0.0002253968,0.0001414559,0.0002744747,0.0003855609,0.0002430582],"domain_scores_gemma":[0.9992884,0.000007162895,0.00004530709,0.0003217344,0.00006369524,0.0002736703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006228474,0.0002686736,0.0002178071,0.00001770561,0.00004158739,0.00003384585,0.003545278,0.001736362,0.01436981,0.0006592093,0.8500884,0.128959],"study_design_scores_gemma":[0.0002333329,0.0000783978,0.0005268266,0.000005571309,0.000009463603,0.00002261551,0.0003127713,0.0003506628,0.001809278,0.000268675,0.9962648,0.0001175889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5971897,0.00004292733,0.004161495,0.002330626,0.0002231126,0.0002707389,0.00007236682,0.001555647,0.3941534],"genre_scores_gemma":[0.9951808,0.000006587552,0.0002987954,0.00006292327,0.0001239003,1.072878e-8,0.0002051834,0.000442073,0.003679686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3979912,"threshold_uncertainty_score":0.9910082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05979615970499379,"score_gpt":0.2514898167148595,"score_spread":0.1916936570098657,"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."}}