{"id":"W4385342950","doi":"10.4204/eptcs.380.12","title":"Extending Resource Monotones using Kan Extensions","year":2023,"lang":"en","type":"article","venue":"Electronic Proceedings in Theoretical Computer Science","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monotone polygon; Computer science; Bipartite graph; Functor; Resource (disambiguation); Theoretical computer science; Set (abstract data type); Quantum entanglement; Probabilistic logic; Discrete mathematics; Mathematics; Quantum; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003749422,0.0007063618,0.0006252692,0.002479816,0.001551993,0.00220788,0.001210783,0.0008548953,0.003831879],"category_scores_gemma":[0.006060839,0.0005932486,0.002903994,0.001186105,0.004423522,0.01183892,0.006105297,0.002709746,0.0005552947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397897,"about_ca_system_score_gemma":0.0007355749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037205,"about_ca_topic_score_gemma":0.0008494112,"domain_scores_codex":[0.9966385,0.0009247052,0.0002911247,0.0008091798,0.0009164932,0.0004199795],"domain_scores_gemma":[0.9961281,0.001576052,0.0002884713,0.0009747733,0.000783812,0.0002488287],"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":[0.00001899751,0.00001452823,0.0002936787,0.00005577409,0.00001465285,0.00012363,0.0005564773,0.002093955,0.001774723,0.9846268,0.0002427562,0.01018397],"study_design_scores_gemma":[0.00001044206,0.00005238908,0.0003654567,0.00004223962,0.00002287435,0.0002124433,0.0002332038,0.01176396,0.002050648,0.9729777,0.0122262,0.00004227548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08832183,0.0004577259,0.8877969,0.0005808924,0.0001497286,0.0001079727,0.0002300217,0.0006251943,0.02172983],"genre_scores_gemma":[0.7045692,0.000495104,0.2850716,0.0005951895,0.0001971202,0.0002723438,0.0004089991,0.0002863859,0.008104194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003831879,"threshold_uncertainty_score":0.01982903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181500351833359,"score_gpt":0.2759454396289179,"score_spread":0.2641304361105843,"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."}}