{"id":"W4413966132","doi":"10.70930/tac/2lwev28q","title":"Spans of cospans","year":2018,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Diet, Metabolism, and Disease","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","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":[0.001180884,0.0006272239,0.000356447,0.00198986,0.001955689,0.001857974,0.00085244,0.000732407,0.01037598],"category_scores_gemma":[0.001675967,0.0003664713,0.0007946607,0.001473678,0.003098794,0.006456343,0.00423806,0.001107542,0.001178802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008349475,"about_ca_system_score_gemma":0.0003983609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034592,"about_ca_topic_score_gemma":0.001196545,"domain_scores_codex":[0.9986851,0.0002064468,0.00009335366,0.0003922427,0.0003735454,0.0002492838],"domain_scores_gemma":[0.998806,0.0002471606,0.000147245,0.0002218248,0.0003590905,0.000218593],"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":[0.00003195307,0.00001219504,0.001034672,0.00007544263,0.00001588919,0.0003109317,0.001808345,0.0004443064,0.002534827,0.9757735,0.0009648224,0.01699309],"study_design_scores_gemma":[0.000009152167,0.00008117271,0.002472714,0.00006317675,0.00002849126,0.0008250229,0.001695571,0.002515543,0.004503087,0.8811839,0.1065883,0.00003379764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3181356,0.004595784,0.5211961,0.001022178,0.0007346885,0.0001400733,0.0006106648,0.001205072,0.1523598],"genre_scores_gemma":[0.9022974,0.001202485,0.0639597,0.0003486299,0.0003232348,0.000128736,0.0005687703,0.0003417831,0.03082929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01037598,"threshold_uncertainty_score":0.03471112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008650642737366798,"score_gpt":0.2756681351367887,"score_spread":0.2670174923994219,"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."}}