{"id":"W4413966143","doi":"10.70930/tac/snz2n35e","title":"A universal characterisation of codescent objects","year":2019,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008184079,0.0004599581,0.0004290091,0.001530837,0.001688159,0.002580751,0.0005818061,0.0008971517,0.004981003],"category_scores_gemma":[0.001843227,0.0003127288,0.0006451089,0.0007687422,0.004781256,0.005122781,0.004113436,0.001902906,0.0007163126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009855813,"about_ca_system_score_gemma":0.0005357267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008595441,"about_ca_topic_score_gemma":0.0005664561,"domain_scores_codex":[0.9987103,0.0002337169,0.00009800286,0.0003408534,0.0003823689,0.0002348114],"domain_scores_gemma":[0.9985458,0.0002795346,0.0001367982,0.0003931276,0.0004358549,0.0002089761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001653942,0.000005905741,0.0002673428,0.00002923909,0.00000260826,0.0001048766,0.0004127758,0.0002790651,0.002558639,0.9902305,0.0002221367,0.005870385],"study_design_scores_gemma":[0.00001469379,0.00006632844,0.0007484721,0.00005401394,0.00001368158,0.0009246205,0.0006225168,0.005712173,0.01553822,0.9082701,0.06798205,0.00005311449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2800766,0.001009518,0.6066288,0.0006036367,0.0005006448,0.0001115602,0.000266926,0.0007532356,0.1100491],"genre_scores_gemma":[0.9014216,0.0003410456,0.07492693,0.000318414,0.0001651537,0.0001205129,0.0002965866,0.000317071,0.02209271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004981003,"threshold_uncertainty_score":0.01666313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006098162286105265,"score_gpt":0.2168893516900909,"score_spread":0.2107911894039856,"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."}}