{"id":"W4234768940","doi":"10.1002/essoar.10507117.2","title":"Large soil carbon storage in terrestrial ecosystems of Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Wildlife Fund Canada; University of Toronto; Natural Resources Canada; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001341557,0.0002231949,0.0002779761,0.001326161,0.001258937,0.001102311,0.0003604364,0.0001614452,0.001581279],"category_scores_gemma":[0.0006078042,0.0001445147,0.0002282119,0.003160523,0.0003330282,0.0003240384,0.0003831121,0.0001418166,0.0001653558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01117656,"about_ca_system_score_gemma":0.009916952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889321,"about_ca_topic_score_gemma":0.9915167,"domain_scores_codex":[0.9998512,0.000003669303,0.000005046572,0.00003599653,0.00006823979,0.00003576606],"domain_scores_gemma":[0.9996215,0.00003547487,0.00003937217,0.00001531534,0.0002387013,0.00004970762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002244336,0.00003430764,0.8660424,0.0002350968,0.0002030869,0.0003637352,0.0009817495,0.02998673,0.0197748,0.00238775,0.004217518,0.07554842],"study_design_scores_gemma":[0.000004274989,0.000007140024,0.9859896,0.00002153737,0.0000239388,0.00006410071,0.0004415119,0.008785857,0.001771106,0.0003928592,0.002472602,0.00002563169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827865,0.0006517245,0.001043211,0.00007524269,0.000003810084,0.00001434882,0.01033661,0.0001084756,0.004980044],"genre_scores_gemma":[0.9958156,0.0002304154,0.001024579,0.00001065847,8.708406e-7,0.000004528285,0.002198313,0.0000116427,0.0007035318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01117656,"threshold_uncertainty_score":0.081092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007737911534672114,"score_gpt":0.2017798715858752,"score_spread":0.1940419600512031,"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."}}