{"id":"W6939799497","doi":"10.6084/m9.figshare.11315444.v1","title":"MOESM1 of A cross-sectional study on feather cover damage in Canadian laying hens in non-cage housing systems","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laying; Feather; Cover (algebra); Public housing","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":[0.0009647888,0.0007446326,0.0006236765,0.002135625,0.002256787,0.0007623782,0.001959013,0.0006058458,0.04632587],"category_scores_gemma":[0.004110603,0.0004919486,0.0009999989,0.003498038,0.0002529641,0.0005994607,0.0008815398,0.0008074874,0.003454471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008045516,"about_ca_system_score_gemma":0.01006662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9432141,"about_ca_topic_score_gemma":0.9656529,"domain_scores_codex":[0.9992894,0.00006689948,0.00006717188,0.0001467958,0.0002225778,0.0002071136],"domain_scores_gemma":[0.9974471,0.000205663,0.0005259162,0.0001613226,0.001312019,0.0003480399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005703826,0.000213766,0.761397,0.0008010605,0.0004093722,0.0001381718,0.0007459677,0.0003836254,0.0004132573,0.0003465005,0.2245419,0.01003895],"study_design_scores_gemma":[0.00004290346,0.0000385604,0.989545,0.0001142136,0.00004002113,0.00003043027,0.0002643007,0.0001071252,0.0000402039,0.00001999754,0.009741402,0.00001576649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08274942,0.0001209479,0.0002290009,0.0001706804,0.00003310066,0.0004356641,0.912749,0.00006641015,0.003445603],"genre_scores_gemma":[0.2940495,0.0003607191,0.002640588,0.0003201838,0.00005495185,0.002957902,0.6816067,0.0001134501,0.01789602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05678588,"threshold_uncertainty_score":0.1549755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05458278171694615,"score_gpt":0.2800258294103281,"score_spread":0.2254430476933819,"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."}}