{"id":"W2995303021","doi":"","title":"Variability and trends in streamflow input to Hudson Bay, Canada","year":2010,"lang":"en","type":"article","venue":"EGUGA","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bay; Streamflow; Geography; Environmental science; Climatology; Oceanography; Geology; Cartography; Drainage basin","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002386299,0.00008005288,0.0001002785,0.00004695175,0.00006218051,0.0000194464,0.00009909651,0.00004410946,0.002082322],"category_scores_gemma":[0.00006707366,0.00006763839,0.00001125155,0.0001753335,0.00003578272,0.00006905779,0.00001307128,0.0001855533,0.00001140985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006504918,"about_ca_system_score_gemma":0.00009645949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7033036,"about_ca_topic_score_gemma":0.9843122,"domain_scores_codex":[0.9993337,0.00002758428,0.0001118477,0.0001894801,0.000125279,0.0002120619],"domain_scores_gemma":[0.9995704,0.0001068298,0.00001747039,0.0001423573,0.00001113269,0.0001517549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007130017,0.000005383164,0.9135821,0.000003205806,0.00000167528,0.000008105398,0.0001320287,0.0001331517,0.000007295102,0.00007900743,0.0003282218,0.08571274],"study_design_scores_gemma":[0.0001052316,0.00002792209,0.9890309,0.000003005568,0.000002676541,0.000007675271,0.00007799665,0.002956995,0.000003826819,0.0002723358,0.007415891,0.00009552753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877129,0.000002953831,0.0000207247,0.00128366,0.0003842633,0.00004233704,0.00006007048,0.000009565681,0.01048358],"genre_scores_gemma":[0.9975812,0.000002103363,0.001408539,0.0004770847,0.00007189204,4.430996e-7,0.00004138856,0.000001710995,0.0004155778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2810085,"threshold_uncertainty_score":0.9988299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004364285013999866,"score_gpt":0.1895567528244571,"score_spread":0.1851924678104572,"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."}}