{"id":"W3096743401","doi":"10.1167/jov.20.11.316","title":"Multiple Target Templates are Maintained without a Cost to Precision","year":2020,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Template; Computer science; Programming language","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":[0.000316413,0.0001258109,0.0002714862,0.00008328944,0.00008367535,0.0000535347,0.0002241052,0.00004023388,0.0001011911],"category_scores_gemma":[0.001447031,0.00009084291,0.0001022277,0.000144578,0.00001638561,0.0002043885,0.0001094114,0.0002344761,0.0001196237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003937802,"about_ca_system_score_gemma":0.00002161952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005556786,"about_ca_topic_score_gemma":7.471294e-7,"domain_scores_codex":[0.9988738,0.00008741875,0.0003996218,0.0001596929,0.000321591,0.0001579287],"domain_scores_gemma":[0.9988355,0.00023524,0.000390664,0.00008801522,0.0001918233,0.0002587792],"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":[0.01665095,0.0004785025,0.2627387,0.0001021645,0.0001247363,0.002020041,0.004281242,0.001607206,0.6525943,0.0000386654,0.03097484,0.0283886],"study_design_scores_gemma":[0.006312071,0.04040928,0.7990542,0.003349335,0.00007582051,0.001476165,0.003470816,0.05690015,0.0127055,0.001201884,0.07414545,0.0008993358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888511,0.00009890521,0.008254776,0.00219753,0.0001491496,0.0001505,0.00001128598,0.00003750762,0.0002492775],"genre_scores_gemma":[0.9769719,0.000008703253,0.02198112,0.0004850057,0.0004636344,0.000001257394,0.000001164362,0.00002133506,0.00006589211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6398888,"threshold_uncertainty_score":0.3704467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1376623195977388,"score_gpt":0.4100296740166518,"score_spread":0.272367354418913,"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."}}