{"id":"W4250150640","doi":"10.1007/978-0-387-39940-9_3072","title":"Mobile Map Services","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Geography","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001295778,0.0004163116,0.0008555794,0.0004187683,0.000421389,0.00007362034,0.0006963498,0.0004101233,0.0003088606],"category_scores_gemma":[0.00002817063,0.0004051653,0.0002274522,0.0001134352,0.0002953041,0.0005357875,0.0001623942,0.0002938531,0.0008890849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009532237,"about_ca_system_score_gemma":0.0002248209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004800004,"about_ca_topic_score_gemma":0.001408849,"domain_scores_codex":[0.9965391,0.00008845241,0.001188436,0.000396381,0.00135317,0.0004344186],"domain_scores_gemma":[0.9971136,0.0001408079,0.001219867,0.0008227747,0.0005187925,0.0001841926],"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":[0.00002419649,0.00006350425,0.000511315,0.00481408,0.0004974214,0.00004532372,0.04791056,0.00002320903,0.000002898532,0.8250488,0.1117223,0.009336357],"study_design_scores_gemma":[0.0001531677,0.00005529532,0.00001172023,0.001242013,0.00007181261,0.000002474423,0.007165497,0.000003183015,4.206257e-7,0.0006799622,0.9902318,0.0003826699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003046875,0.01059713,0.00002022432,0.00004519425,0.002896441,0.001476898,0.001216298,0.0001658576,0.9835515],"genre_scores_gemma":[0.002568508,0.01574937,0.0001531838,0.00005016756,0.001755162,0.0001180086,0.0007088278,0.00004567154,0.9788511],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8785095,"threshold_uncertainty_score":0.9998888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344725384729882,"score_gpt":0.2621815952278531,"score_spread":0.2487343413805543,"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."}}