{"id":"W2363940988","doi":"","title":"Application of Multi-point Dust Sampling Technology for Poultry Housing in Winter","year":2006,"lang":"en","type":"article","venue":"","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Environmental science; Sampling (signal processing); Atmospheric sciences; Dust control; Wind speed; Point (geometry); Spatial distribution; Distribution (mathematics); Meteorology; Environmental engineering; Mathematics; Geography; Statistics; Waste management; Physics; Engineering; Optics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000480422,0.0003268942,0.0003483089,0.0003024683,0.0003898039,0.0002965245,0.0004077464,0.0003310576,0.0006216087],"category_scores_gemma":[0.0004679737,0.0002290013,0.0002825231,0.0002864665,0.0001789735,0.0002027284,0.0003253698,0.0002343663,0.0001972807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003132677,"about_ca_system_score_gemma":0.0001909056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198213,"about_ca_topic_score_gemma":0.004509842,"domain_scores_codex":[0.9993979,0.000170833,0.00003967406,0.0001630407,0.0001871865,0.0000414635],"domain_scores_gemma":[0.9995422,0.0001121884,0.0001222485,0.00005367181,0.0001131283,0.00005657434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008812638,0.0004289589,0.0708179,0.000154628,0.00003802005,0.00008336885,0.0002751756,0.0005759092,0.8966131,0.00003475645,0.00008697433,0.03000992],"study_design_scores_gemma":[0.00003968825,0.005545678,0.3243311,0.00001818183,0.00008508349,0.0003754665,0.0004221451,0.005762792,0.6621061,0.00009335765,0.001192768,0.00002763023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833564,0.0002265088,0.01581493,0.00003731231,0.00002488487,0.00006682114,0.0001087302,0.00005157086,0.0003128982],"genre_scores_gemma":[0.973397,0.0002153808,0.02543874,0.00004339993,0.00001096759,0.00009634299,0.0001289348,0.000006971001,0.000662187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00198213,"threshold_uncertainty_score":0.003941238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532022407218264,"score_gpt":0.2391484824703616,"score_spread":0.223828258398179,"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."}}