{"id":"W7096673217","doi":"","title":"Neural network models for predicting organic matter content in Saskatchewan soils. Canadian Biosystems Engineering 43","year":2001,"lang":"en","type":"article","venue":"","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Organic matter; Content (measure theory); Backpropagation","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":[0.0006373164,0.0005614578,0.0004108911,0.0005258857,0.0004780384,0.0006504175,0.001013294,0.0006307767,0.002265835],"category_scores_gemma":[0.002113612,0.0003864539,0.0003756715,0.0009321225,0.0003034458,0.0006170953,0.0004839819,0.0007952088,0.0003906005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004984603,"about_ca_system_score_gemma":0.003446855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7362409,"about_ca_topic_score_gemma":0.7634557,"domain_scores_codex":[0.9998963,0.00002775631,0.000006727491,0.0000230226,0.00001640851,0.00002977852],"domain_scores_gemma":[0.9993294,0.0003556474,0.00003666215,0.00001752407,0.0002337579,0.00002692558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009222409,0.00005238254,0.009643753,0.00002569166,0.00007999291,0.00002552829,0.00002261577,0.9683078,0.0003835155,0.0006890853,0.001547738,0.01912965],"study_design_scores_gemma":[0.000008659179,0.000009731256,0.002743952,0.000004265408,0.00001214998,0.000002644141,0.00001956827,0.9962281,0.0001643422,0.0006420303,0.0001598418,0.000004717438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456482,0.001218516,0.04308626,0.000898049,0.0001093851,0.00006992588,0.002810019,0.0002963901,0.005863355],"genre_scores_gemma":[0.9863983,0.0004400195,0.007013109,0.00005813181,0.0000179621,0.00006427362,0.001149933,0.00001878832,0.00483941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2637591,"threshold_uncertainty_score":0.5306247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572149089359494,"score_gpt":0.1838947588021174,"score_spread":0.1681732679085225,"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."}}