{"id":"W3041346854","doi":"","title":"NON-COMPACTNESS OF INFORMATION STRUCTURES","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Compact space; Mathematics; Type (biology); Bounded function; Space (punctuation); Zero (linguistics); Pure mathematics; Function space; Universe; Function (biology); Topology (electrical circuits); Discrete mathematics; Combinatorics; Computer science; Mathematical analysis; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004846247,0.000415713,0.0005692729,0.0003890659,0.0002458129,0.0007222411,0.004548989,0.0003523022,0.00008337108],"category_scores_gemma":[0.001051271,0.0004212941,0.0002680975,0.0006750322,0.0003965646,0.000729501,0.005053445,0.0006078113,0.00004804593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535293,"about_ca_system_score_gemma":0.0005224138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042371,"about_ca_topic_score_gemma":0.0002251627,"domain_scores_codex":[0.9949199,0.002203133,0.0009362602,0.0007547759,0.0007734878,0.0004124646],"domain_scores_gemma":[0.9893354,0.0009421126,0.001084349,0.004159439,0.004281358,0.0001973402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003031715,0.001207506,0.005814474,0.001558929,0.0002954946,0.000005905997,0.06409371,0.002529447,0.001327133,0.4524755,0.005235025,0.4654266],"study_design_scores_gemma":[0.00107885,0.00000283256,0.05960992,0.001853824,0.00005586928,0.00002932841,0.0001236532,0.6499643,0.1072585,0.1706442,0.008042988,0.001335622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06549676,0.0001747349,0.9096736,0.002442188,0.0007875573,0.0005554613,0.00004431334,0.0003134492,0.02051198],"genre_scores_gemma":[0.6973712,0.00005258801,0.3019852,0.00007538298,0.00003850797,0.00003000211,0.0001700116,0.00001800536,0.0002590503],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6474349,"threshold_uncertainty_score":0.9998239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189186711843599,"score_gpt":0.2319765534154057,"score_spread":0.2200846862969698,"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."}}