{"id":"W6902053475","doi":"10.6084/m9.figshare.19308536.v3","title":"Eastern Canadian Arctic Lake Water Isotope Box Model","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Stable isotope ratio; Isotope; Box model; Hydrology (agriculture); Shelf ice; Surface water; Isotope analysis","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008916039,0.0006785047,0.0005006484,0.0006554209,0.0003413483,0.0002639554,0.00147389,0.0004315061,0.989067],"category_scores_gemma":[0.0004130659,0.0006270712,0.0002206653,0.0002278002,0.00000874645,0.0002016038,0.0009694475,0.001387257,0.469672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092713,"about_ca_system_score_gemma":0.001341948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1247829,"about_ca_topic_score_gemma":0.9334841,"domain_scores_codex":[0.9965119,0.0001206252,0.0003729294,0.0009004683,0.0007669403,0.001327124],"domain_scores_gemma":[0.9970753,0.00002173757,0.000158261,0.001774038,0.0001900728,0.0007805584],"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":[0.000008408187,0.00002694499,0.000001123898,0.0007006738,0.00006833077,0.0007622796,0.00004740428,0.0007408914,7.602209e-7,8.691253e-8,0.9976296,0.00001343005],"study_design_scores_gemma":[0.0002120391,0.00002550945,0.000006274598,0.0009900733,0.0000647048,0.00005656541,0.0000072165,0.0008088921,0.000004258521,0.00001053316,0.9969608,0.0008530908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001031516,0.0001565326,4.684297e-9,0.0000870688,0.0001388627,0.0007350713,0.9982206,0.0001172961,0.000543577],"genre_scores_gemma":[0.0000393643,0.000001350333,0.000003075929,0.001339606,0.0002637979,0.001548147,0.9917626,0.0003021894,0.00473992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8087012,"threshold_uncertainty_score":0.9996181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05702459595318653,"score_gpt":0.2613280941127783,"score_spread":0.2043034981595918,"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."}}