{"id":"W3150544723","doi":"","title":"The mean residence time of river water in the Canada Basin","year":2008,"lang":"en","type":"article","venue":"中国科学通报：英文版","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Environmental science; Residence; Geology; Demography","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":[0.0001213562,0.0001106314,0.0001576933,0.0003884324,0.0007497093,0.00063358,0.0002284607,0.0001964408,0.001268032],"category_scores_gemma":[0.0004116059,0.0001149313,0.0002415967,0.0006149738,0.0003326893,0.000250616,0.0001931704,0.0001764229,0.0001119847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009552386,"about_ca_system_score_gemma":0.006072279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.940327,"about_ca_topic_score_gemma":0.9623327,"domain_scores_codex":[0.9999135,0.000004078943,0.00000336384,0.00002633794,0.0000224146,0.00003036446],"domain_scores_gemma":[0.9998257,0.00002422676,0.00002078431,0.000005194052,0.00008664428,0.00003750991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004099731,0.00002297995,0.9398476,0.0001195398,0.000140471,0.00036346,0.001128907,0.009119562,0.01304017,0.001603332,0.002264723,0.0319393],"study_design_scores_gemma":[0.000008197664,0.00003085845,0.9883714,0.00001107302,0.00003026535,0.00007745077,0.0008859842,0.004290594,0.001388273,0.0001778714,0.004707947,0.00001995231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995128,0.0004294095,0.000348862,0.0001018781,0.000005524727,0.000004572975,0.001498879,0.00003001831,0.002452721],"genre_scores_gemma":[0.997267,0.0001684804,0.0002375366,0.000009233907,0.000001330349,0.000002652273,0.0004316257,0.000005467644,0.001876691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05967295,"threshold_uncertainty_score":0.1200487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007448644066368576,"score_gpt":0.1739540443225655,"score_spread":0.166505400256197,"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."}}