{"id":"W4394480534","doi":"10.6084/m9.figshare.23982606","title":"Animal Science","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007364485,0.000202124,0.0001708504,0.0001720675,0.0001987932,0.0001397644,0.0009639646,0.00009977472,0.0975824],"category_scores_gemma":[0.003414555,0.0001878668,0.00006296135,0.0004149749,0.00003465174,0.0001203147,0.0007243537,0.0003538658,0.2439841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004885572,"about_ca_system_score_gemma":0.0001744161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007765451,"about_ca_topic_score_gemma":0.000004498213,"domain_scores_codex":[0.9986168,0.0000195973,0.0001437211,0.0004858868,0.0003910112,0.0003430069],"domain_scores_gemma":[0.9990892,0.0001770376,0.0001328597,0.0004023396,0.000103771,0.00009481922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001364702,0.0000117554,2.74417e-7,0.0001739108,0.000005954699,0.0005044555,0.000004816593,1.066296e-7,0.00006889798,5.996023e-7,0.9991274,0.00008819091],"study_design_scores_gemma":[0.0000429598,0.000380331,0.0007516866,0.002059896,0.000005119635,0.00005021861,0.000009029866,0.00002454596,0.00001457498,0.000007216887,0.9964201,0.000234351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003616543,0.00004970498,3.600343e-9,0.000009962643,0.000123329,0.00009335919,0.9984904,0.0002653843,0.0009316917],"genre_scores_gemma":[0.0001200858,0.00000234231,0.00001400518,0.0000568004,0.0005434763,0.00007602791,0.9987268,0.00002643318,0.0004340415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1464017,"threshold_uncertainty_score":0.9032425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.380166596708004,"score_gpt":0.4535936987134155,"score_spread":0.07342710200541158,"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."}}