{"id":"W2157066544","doi":"","title":"MODELLING OF ENERGY REQUIREMENTS BY A NARROW TILLAGE TOOL","year":2006,"lang":"en","type":"article","venue":"","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bin; Tillage; Energy requirement; Water content; Environmental science; Energy (signal processing); Available energy; Soil science; Agricultural engineering; Mathematics; Computer science; Engineering; Geotechnical engineering; Statistics; Regression; Algorithm; Agronomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003813497,0.00007239619,0.00008439818,0.00002815452,0.00001267215,0.000008086572,0.00006532384,0.00004538125,0.00002572398],"category_scores_gemma":[9.594019e-7,0.00007376391,0.00003029348,0.00006655627,0.000004038843,0.00004621803,0.00001052451,0.00002477766,0.000002891908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002080494,"about_ca_system_score_gemma":0.000003680255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000209109,"about_ca_topic_score_gemma":0.00001946819,"domain_scores_codex":[0.9995382,0.00000297353,0.0001575173,0.00007430684,0.00009672439,0.0001302184],"domain_scores_gemma":[0.9998286,0.000007312999,0.00001492596,0.0001151841,0.00001766826,0.00001624757],"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":[0.000002794924,0.00002797141,0.00006467955,0.00003626677,0.00001541738,0.00000149205,0.00001425551,0.9256624,0.02988569,0.03640859,0.004825825,0.003054608],"study_design_scores_gemma":[0.0001180384,0.000008915817,0.000002073506,0.000006286763,0.000003352356,4.469074e-7,0.000005138199,0.9806079,0.01661075,0.001355609,0.00119424,0.00008729536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6547907,0.0002032267,0.3274514,0.000006325476,0.0001087392,0.00002699015,0.000009481458,0.0001338823,0.01726921],"genre_scores_gemma":[0.9981095,0.00003052617,0.001063515,0.00001322148,0.00002272322,0.00000360027,0.00001571105,0.00002082816,0.000720357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3433188,"threshold_uncertainty_score":0.3008005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191119613968862,"score_gpt":0.1861518214928501,"score_spread":0.1742406253531615,"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."}}