{"id":"W2116659305","doi":"10.7451/cbe.2014.56.8.1","title":"Yield and moisture content of corn stover components in Québec, Canada.","year":2015,"lang":"en","type":"article","venue":"Canadian Biosystems Engineering","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Stover; Corn stover; Yield (engineering); Agronomy; Water content; Environmental science; Moisture; Geography; Geology; Crop; Physics; Biology; Biofuel; Biotechnology; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000088661,0.00007490207,0.0001434322,0.0000144993,0.00001834766,0.00001072668,0.00007771985,0.00005231594,0.000009493681],"category_scores_gemma":[0.00006619078,0.00003594571,0.00001437748,0.00009178786,0.000009466031,0.000025684,0.00001207931,0.00006551646,4.898594e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175959,"about_ca_system_score_gemma":0.0001322152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990842,"about_ca_topic_score_gemma":0.9998875,"domain_scores_codex":[0.9994788,0.00000749405,0.0001449484,0.0001084464,0.00008624742,0.0001741001],"domain_scores_gemma":[0.9995629,0.00004349826,0.00002139864,0.00003604684,0.00003371464,0.0003024381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002567865,0.00002249041,0.7742599,0.0001123883,0.00002907579,0.00008188852,0.000476139,0.000220395,0.2178905,0.0001965056,0.004367028,0.00231799],"study_design_scores_gemma":[0.00009972059,0.00002254102,0.9700334,0.00007208584,0.000002116538,0.000007394216,0.0004392794,0.0004334919,0.0007113962,9.96176e-7,0.02805328,0.000124285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983268,0.000533407,1.740707e-7,0.0006392786,0.0001860352,0.00008983962,0.00005317826,0.000007910601,0.0001633376],"genre_scores_gemma":[0.9997916,0.000001982857,0.000001468596,0.00007699109,0.00003879853,0.000002404124,0.000007859396,6.473177e-7,0.00007831435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2171791,"threshold_uncertainty_score":0.1465824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05204655462106002,"score_gpt":0.1639940762017313,"score_spread":0.1119475215806713,"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."}}