{"id":"W2893575952","doi":"10.6000/1927-520x.2018.07.02.2","title":"Detection of Symmetries in Cattle Skulls","year":2018,"lang":"en","type":"article","venue":"Journal of Buffalo Science","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Evolutionary biology; Zoology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008932002,0.00006402334,0.0001417083,0.000709928,0.00006165366,0.0001917072,0.001246206,0.0000144479,0.0000025053],"category_scores_gemma":[0.0009641616,0.0000532735,0.00005404773,0.002287074,0.0007366132,0.002904778,0.0001769132,0.00007574366,0.00001224805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006298448,"about_ca_system_score_gemma":0.0003675547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004059094,"about_ca_topic_score_gemma":0.00001126066,"domain_scores_codex":[0.9986365,0.00001839812,0.0003474438,0.0001493143,0.0006398318,0.0002084491],"domain_scores_gemma":[0.9984891,0.00006764587,0.0003176066,0.0002527238,0.0007563441,0.0001165971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008151547,0.001116923,0.03728784,0.00006627106,0.00002798225,0.00009352712,0.003129959,0.0002751014,0.570414,0.02113627,0.001273468,0.3650971],"study_design_scores_gemma":[0.0004356722,0.000716629,0.1118205,0.000118299,0.000007175417,0.0002202376,0.0001297139,0.002315581,0.8746659,0.008573457,0.0008522387,0.0001445897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464399,0.0003392213,0.04851436,0.0003195047,0.0009088246,0.00004566071,0.000001158264,0.00001537669,0.003415957],"genre_scores_gemma":[0.9926986,0.000004944878,0.007130511,0.00008295543,0.0000575142,2.819078e-7,1.462036e-8,0.000002415126,0.00002273938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3649525,"threshold_uncertainty_score":0.2714082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137051151128364,"score_gpt":0.2601022601845559,"score_spread":0.2487317486732722,"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."}}