{"id":"W4413972858","doi":"10.70930/tac/piomkimz","title":"Construction of categorical bundles from local data","year":2016,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Engineering Research Board; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Categorical variable; Computer science; Mathematics; Statistics","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":[0.002929022,0.0005898297,0.0006115218,0.003270678,0.001734525,0.003711583,0.00126192,0.0008478933,0.005048779],"category_scores_gemma":[0.005402153,0.000719143,0.001101089,0.002142553,0.004998756,0.008125427,0.007442382,0.002493854,0.00131119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285916,"about_ca_system_score_gemma":0.001161911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006767858,"about_ca_topic_score_gemma":0.0006967636,"domain_scores_codex":[0.9976012,0.0008210665,0.0001455202,0.0004539677,0.0007518509,0.0002264227],"domain_scores_gemma":[0.9969688,0.0007975235,0.0002592058,0.0007513155,0.0007002783,0.000522902],"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":[0.00001154718,0.00001341202,0.0005220691,0.00003465422,0.00000878564,0.0001847266,0.0006330842,0.000767255,0.001441028,0.9877948,0.0008029545,0.007785732],"study_design_scores_gemma":[0.00001136497,0.0000316926,0.0005805572,0.00002898193,0.00001405442,0.0003032303,0.0004299798,0.009642229,0.002226377,0.9654998,0.02120377,0.0000279659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05585304,0.0002611713,0.9272863,0.0007978211,0.0001229987,0.0001003786,0.0004131097,0.001148678,0.01401655],"genre_scores_gemma":[0.5875705,0.0004870965,0.3981841,0.0003108428,0.0002001146,0.0003495626,0.001160136,0.0005420052,0.01119571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005048779,"threshold_uncertainty_score":0.01688987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661250565285147,"score_gpt":0.250495480623188,"score_spread":0.2338829749703366,"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."}}