{"id":"W4321602497","doi":"10.1093/af/vfac078","title":"Cage-free eggs in China","year":2023,"lang":"en","type":"article","venue":"Animal Frontiers","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cage; China; Biology; Zoology; Geography; Engineering; Archaeology; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001624528,0.0001742993,0.0002465426,0.0001862742,0.0001315851,0.00002199817,0.0002972892,0.00008030061,0.0001333986],"category_scores_gemma":[0.00006327395,0.0001682116,0.0001008073,0.0004621167,0.00008183463,0.000151168,0.0002633184,0.0001859418,0.0004570977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006262205,"about_ca_system_score_gemma":0.00001528177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006146537,"about_ca_topic_score_gemma":0.00005651906,"domain_scores_codex":[0.9988056,0.00004012489,0.0002068661,0.0003127464,0.0001848185,0.0004497824],"domain_scores_gemma":[0.9995916,0.00001406912,0.00003388844,0.0002770358,0.00001753686,0.00006589788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006276292,0.00005915982,0.5927873,0.00002396663,0.00004027667,0.001257709,0.001941856,0.000001497788,0.006667125,0.0008479917,0.3928037,0.002941811],"study_design_scores_gemma":[0.0004498961,0.0005044754,0.9861296,0.00001196877,0.00001593213,0.00001274387,0.001456018,0.000073503,0.00004147728,0.0005227838,0.01056999,0.0002115599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794393,0.0003485609,0.00002586396,0.001037379,0.0004137273,0.0001520239,0.00004194496,0.0003116969,0.01822949],"genre_scores_gemma":[0.9978414,0.00008867549,0.0002909224,0.0000682487,0.00009484257,0.00003447445,0.00001593801,0.00003329254,0.001532247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3933423,"threshold_uncertainty_score":0.6859468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03728931053534204,"score_gpt":0.3293934137754712,"score_spread":0.2921041032401291,"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."}}