{"id":"W6401772","doi":"10.1136/jcp.36.1.30","title":"Hydrology and Biogeochemistry of a Bog-Fen-Tributary Complex in the Hudson Bay Lowlands, Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Journal of Clinical Pathology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, India; Ministry of Natural Resources","keywords":"Tributary; Bog; Biogeochemistry; Bay; Hydrology (agriculture); Oceanography; Environmental science; Geology; Geography; Peat; Archaeology; Cartography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0001115887,0.0002149802,0.0002129361,0.001808141,0.001950717,0.0008001427,0.0005912962,0.000272415,0.000779369],"category_scores_gemma":[0.0003815262,0.0001724146,0.0001373962,0.002115823,0.00106078,0.0001643907,0.0005244433,0.000213578,0.0001049625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0125791,"about_ca_system_score_gemma":0.009946927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9874318,"about_ca_topic_score_gemma":0.9941513,"domain_scores_codex":[0.999824,0.00001289853,0.000009900503,0.00002389761,0.00005620626,0.00007305999],"domain_scores_gemma":[0.9997129,0.00001849831,0.00005602833,0.000007280347,0.0001101073,0.00009518043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006213137,0.00001858258,0.980889,0.00006991562,0.00003228797,0.002955372,0.003828336,0.0002380608,0.003861084,0.0001872474,0.0005769118,0.007280983],"study_design_scores_gemma":[0.000001786934,0.000007263246,0.9970079,0.000009104626,0.000005172632,0.0002644029,0.001779319,0.0001073932,0.0000847878,0.00001732245,0.0007119231,0.00000354851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970285,0.0004011961,0.00007351983,0.00009798732,0.00000347597,0.00001931924,0.0004861698,0.000007486317,0.001882369],"genre_scores_gemma":[0.9987374,0.0002260768,0.0001193235,0.00002341506,0.000001919948,0.000004944798,0.00019667,0.000002384995,0.0006879506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125791,"threshold_uncertainty_score":0.09126818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084620610234754,"score_gpt":0.278875663157823,"score_spread":0.2580294570554754,"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."}}