{"id":"W2127831582","doi":"","title":"Sensors to measure mass-flow-rate through a forage harvester","year":2000,"lang":"en","type":"article","venue":"Canadian agricultural engineering","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forage; Measure (data warehouse); Environmental science; Flow (mathematics); Agricultural engineering; Mathematics; Computer science; Agronomy; Biology; Engineering; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069046,0.0002363497,0.0001698404,0.00007865468,0.0001170878,0.0005698591,0.0006204184,0.00008378617,0.0001233208],"category_scores_gemma":[0.00002441489,0.0001773008,0.00006527235,0.000710696,0.000008219586,0.001239252,0.00002354809,0.0001716262,0.0003775534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001693275,"about_ca_system_score_gemma":0.00009597425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002423429,"about_ca_topic_score_gemma":0.004448178,"domain_scores_codex":[0.9986306,0.00001305981,0.0001791909,0.0003800177,0.0001517128,0.0006453929],"domain_scores_gemma":[0.9989824,0.00001556235,0.00001933701,0.0002913582,0.00006892295,0.0006224396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001673276,0.00005132165,0.0003683284,0.0003838488,0.0002458595,0.001531037,0.01128473,0.6513534,0.02882067,0.1361667,0.04343333,0.126344],"study_design_scores_gemma":[0.001369785,0.000334951,0.1252163,0.0009485721,0.00005578973,0.0007566641,0.0002995064,0.1808162,0.01047798,0.001483461,0.6731235,0.005117212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2626331,0.0004014792,0.6762887,0.01826424,0.001378076,0.001130962,0.00008681542,0.001209092,0.03860761],"genre_scores_gemma":[0.9456936,0.000009544307,0.04791353,0.00112505,0.0001742296,0.00003101715,0.000007956261,0.00001740439,0.005027738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6830605,"threshold_uncertainty_score":0.7230118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007567573178977669,"score_gpt":0.1707643201865549,"score_spread":0.1631967470075772,"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."}}