{"id":"W4406401421","doi":"10.1017/s147106842400036x","title":"On Lower Bounding Minimal Model Count","year":2024,"lang":"en","type":"article","venue":"Theory and Practice of Logic Programming","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministry of Education, India; National Supercomputing Centre Singapore; University of Toronto; National Research Foundation Singapore; National Research Foundation","keywords":"Computer science; Bounding overwatch; Count data; Statistics; Artificial intelligence; Mathematics; Poisson distribution","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":[0.008375102,0.001715469,0.003112575,0.005217937,0.002111737,0.006819561,0.005571343,0.002259994,0.008991392],"category_scores_gemma":[0.08993904,0.001408297,0.00309787,0.004652643,0.003446551,0.01442072,0.008018382,0.005411328,0.001844051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003674722,"about_ca_system_score_gemma":0.004419992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003520973,"about_ca_topic_score_gemma":0.005346392,"domain_scores_codex":[0.9818617,0.005553757,0.0008451371,0.00302314,0.007312406,0.001403972],"domain_scores_gemma":[0.9010693,0.07545598,0.004332375,0.01195618,0.005263562,0.001922421],"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":[0.00123389,0.0004823232,0.0142181,0.002037499,0.0004131791,0.0004133137,0.001286039,0.1958514,0.01004169,0.3960932,0.02431021,0.3536192],"study_design_scores_gemma":[0.00003820629,0.00007735893,0.0005880526,0.0001603252,0.00008946091,0.0002232822,0.0001483971,0.6513817,0.005782528,0.3367367,0.004729019,0.00004500496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.049205,0.002177834,0.9338766,0.002388305,0.0001967936,0.00018818,0.001287137,0.005148728,0.005531413],"genre_scores_gemma":[0.4429738,0.0009223169,0.5471428,0.0008747673,0.0003367456,0.0003548148,0.002270768,0.001647739,0.003476256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008991392,"threshold_uncertainty_score":0.04429233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330155996511509,"score_gpt":0.3339099828072208,"score_spread":0.3008943831560699,"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."}}