{"id":"W2180209647","doi":"10.1111/ecog.01748","title":"Temperature and trophic structure are driving microbial productivity along a biogeographical gradient","year":2015,"lang":"en","type":"article","venue":"Ecography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Université de Montréal; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Nature Conservancy; Université du Québec à Rimouski","keywords":"Trophic level; Ecosystem; Ecology; Community structure; Biology; Adaptation (eye); Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001077636,0.0001680531,0.000197107,0.00003241865,0.0002658271,0.00008968772,0.0001108303,0.00009780975,0.000009322696],"category_scores_gemma":[0.0000342384,0.0000620173,0.00009917592,0.0005462731,0.0001165121,0.00009497671,0.00008187106,0.0001764709,0.000001942242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004788325,"about_ca_system_score_gemma":0.000002708142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009985791,"about_ca_topic_score_gemma":0.006144648,"domain_scores_codex":[0.9990731,0.00004906574,0.000112675,0.0003608206,0.0001346572,0.0002696386],"domain_scores_gemma":[0.9996821,0.00002746596,0.00005919438,0.00002571179,0.00005538224,0.000150118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002413188,0.00004109281,0.8120402,0.000004303357,0.00002719225,0.00001087685,0.00007069798,1.727823e-7,0.1842332,0.00002829377,0.001722642,0.00179722],"study_design_scores_gemma":[0.0001201969,0.0001575391,0.9912167,0.00002016181,0.00001452362,0.00003325353,0.0002290636,0.000001201619,0.001014916,0.0005794102,0.0064252,0.0001877871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965991,0.001048223,3.452486e-8,0.001864942,0.0001218618,0.0001337703,0.0001287833,0.00007072996,0.00003260228],"genre_scores_gemma":[0.9993154,0.00006626061,0.00004226055,0.00008101424,0.0004538532,0.000004776241,0.00002499513,9.085829e-7,0.00001047543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1832183,"threshold_uncertainty_score":0.3428858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918249585851807,"score_gpt":0.1770007745694036,"score_spread":0.1578182787108856,"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."}}