{"id":"W3210927088","doi":"","title":"The size and spatial distribution of organic carbon stocks in terrestrial ecosystems of Canada","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Terrestrial ecosystem; Ecosystem; Environmental science; Spatial distribution; Ecology; Geography; Physical geography; Remote sensing; Biology","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":[0.0002974861,0.0001730844,0.0002494142,0.002356061,0.001673061,0.001326772,0.0006900139,0.0002570408,0.001999957],"category_scores_gemma":[0.001173494,0.0002417006,0.0002686004,0.003153898,0.0009811373,0.000359915,0.0006046794,0.0002156848,0.0001976611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01455935,"about_ca_system_score_gemma":0.01115592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930479,"about_ca_topic_score_gemma":0.9972368,"domain_scores_codex":[0.9997252,0.00001504842,0.00001683462,0.00005936707,0.00008221114,0.0001013661],"domain_scores_gemma":[0.9984612,0.0001785863,0.000177753,0.00003623726,0.0008516082,0.0002946404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001552356,0.00001823334,0.9821046,0.00004254161,0.00008770543,0.00008844306,0.001624327,0.0004033046,0.001522509,0.0003819919,0.001067472,0.01250362],"study_design_scores_gemma":[0.00000235876,0.000004285533,0.9982241,0.00000782799,0.00000883796,0.00002946897,0.0009191804,0.0002348108,0.00007267964,0.00003563624,0.0004548557,0.000006019996],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960738,0.0003095031,0.0000719425,0.00006672066,0.000002745313,0.000007847145,0.002042754,0.000008343212,0.001416344],"genre_scores_gemma":[0.9977334,0.0002110163,0.0001113501,0.00001859252,0.000001617349,0.000004019316,0.0007455929,0.000003887886,0.001170526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01455935,"threshold_uncertainty_score":0.1056361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006830724668339741,"score_gpt":0.1881913617629173,"score_spread":0.1813606370945776,"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."}}