{"id":"W6888494408","doi":"10.21233/j63c-1q91","title":"Lake Ontario/Wellers Bay water chemistry dataset","year":2018,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paleoecology; Bay; Biogeosciences; Hydrology (agriculture); Paleolimnology; Water chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001710075,0.002340355,0.002104473,0.0003104837,0.0006996017,0.0004286639,0.00470429,0.002415395,0.4114226],"category_scores_gemma":[0.0009190672,0.00166162,0.000526517,0.0004231102,0.001750352,0.000616813,0.004562222,0.0038223,0.1742907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009716632,"about_ca_system_score_gemma":0.0007274256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003076515,"about_ca_topic_score_gemma":0.6054748,"domain_scores_codex":[0.9887704,0.0005972779,0.001775828,0.003888645,0.001849998,0.003117879],"domain_scores_gemma":[0.989783,0.0005253483,0.0007045962,0.007177567,0.0002735409,0.001535905],"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":[0.0008580816,0.001359726,0.0005010254,0.0003947122,0.000328011,0.005472155,0.00001613864,0.000002715572,0.0007523994,4.289921e-7,0.990292,0.00002260258],"study_design_scores_gemma":[0.002035437,0.0003901764,0.00111029,0.0001447337,0.0006893504,0.0003496916,0.0000117212,0.000006239116,0.0009924967,0.00001773899,0.9918303,0.002421827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008331822,0.00003902829,0.000001759627,0.00009425348,0.001228382,0.001692915,0.9873214,0.0005086742,0.0007817112],"genre_scores_gemma":[0.00004405357,0.00007223406,0.0004456986,0.001610182,0.001608096,0.0007012636,0.9936412,0.0002050668,0.00167223],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6023983,"threshold_uncertainty_score":0.9989335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553415180232026,"score_gpt":0.2710167980926327,"score_spread":0.2454826462903124,"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."}}