{"id":"W1551746214","doi":"10.1016/s1363-0814(05)80013-9","title":"Chapter 10 Cognitive theories and aids to support navigation of multimedia information space","year":2005,"lang":"en","type":"book-chapter","venue":"Modern cartography","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Carleton University","funders":"","keywords":"Cyberspace; Computer science; Representation (politics); Human–computer interaction; Space (punctuation); Orientation (vector space); Cognitive map; Information space; Generalization; Virtual space; Multimedia; Cognition; World Wide Web; Artificial intelligence; The Internet; Psychology; Mathematics","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":[0.00009727498,0.0002793297,0.0002752952,0.0004666577,0.00004190423,0.00003483201,0.00005482823,0.0002403775,0.0003970137],"category_scores_gemma":[0.00001294555,0.0003069957,0.0001221276,0.00006407869,0.00009167236,0.000354587,0.0000251092,0.0001858806,0.0001158922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001798702,"about_ca_system_score_gemma":0.00001035965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009138885,"about_ca_topic_score_gemma":0.00001898983,"domain_scores_codex":[0.9990453,0.000006254213,0.0003661481,0.0001569397,0.0002823992,0.0001430022],"domain_scores_gemma":[0.9993138,0.00004690345,0.0001156732,0.0001280579,0.0002880638,0.0001075358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001848984,0.00001461223,0.0001628835,0.0004047931,0.0003146685,0.000003689421,0.008610089,0.0005233247,0.0008442058,0.03109495,0.0004667004,0.9573752],"study_design_scores_gemma":[0.01074617,0.004347511,0.003257335,0.0075114,0.002676077,0.00009277535,0.001539323,0.05622643,0.0756463,0.1589346,0.6704865,0.008535678],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04075197,0.0007025416,0.09045218,0.0001066649,0.0006564603,0.002003821,0.002011942,0.0007249439,0.8625895],"genre_scores_gemma":[0.9949255,0.0001739416,0.0009617045,0.000120291,0.0001331131,0.00003566501,0.001406298,0.0000566397,0.002186825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9541736,"threshold_uncertainty_score":0.9999382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007907395084891893,"score_gpt":0.2103794611307123,"score_spread":0.2024720660458204,"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."}}