{"id":"W2414105347","doi":"","title":"Information and space: analogies and metaphors","year":2012,"lang":"en","type":"article","venue":"Ghent University Academic Bibliography (Ghent University)","topic":"Scientific Research and Philosophical Inquiry","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Technology Sydney; Universidad Veracruzana; Universiteit Gent; University of Illinois at Urbana-Champaign; University of Toronto; University College London","keywords":"Space (punctuation); Information space; Computer science; Sociology; Data science; Epistemology; World Wide Web; Information retrieval; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0005964549,0.0001971762,0.0001959028,0.01734608,0.0005061387,0.0001605378,0.0009846709,0.0002302622,0.00001978663],"category_scores_gemma":[0.00002448904,0.0002100444,0.0001260528,0.01879076,0.000594445,0.006985571,0.001121476,0.000538728,0.00002050263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004510978,"about_ca_system_score_gemma":0.00003716236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009641356,"about_ca_topic_score_gemma":0.00000225127,"domain_scores_codex":[0.9982442,0.0001844246,0.0001445633,0.0003153682,0.0005149043,0.0005965779],"domain_scores_gemma":[0.9985731,0.0001556055,0.0001294297,0.0003448346,0.0001257318,0.0006713212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001077554,0.00008760575,0.1509383,0.00007256556,0.0002044022,0.00003267615,0.00245296,0.00001384422,0.0003171328,0.8090818,0.02865868,0.00803235],"study_design_scores_gemma":[0.001767705,0.000185632,0.1783675,0.00006234656,0.0001401242,0.00003484725,0.005134131,0.001278442,0.0003098027,0.01117365,0.8007152,0.0008305748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7653737,0.004032202,0.1839893,0.01080987,0.001232435,0.0008823405,0.0001108584,0.0007673639,0.03280193],"genre_scores_gemma":[0.9758442,0.02101673,0.002508183,0.0002116177,0.00005726729,1.648419e-7,0.00001421573,0.000004537527,0.0003430744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7979081,"threshold_uncertainty_score":0.9937915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346293322243072,"score_gpt":0.2393123202918437,"score_spread":0.2046829880675365,"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."}}