{"id":"W4402263290","doi":"10.62973/12-119r1","title":"OWS-9: OGC Mobile Apps: Definition, Requirements, and Information Architecture","year":2013,"lang":"en","type":"report","venue":"","topic":"Engineering and Information Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Defence Science and Technology Group; Natural Resources Canada; U.S. Army Corps of Engineers; Defence Science and Technology Laboratory; National Geospatial-Intelligence Agency; Federal Aviation Administration; U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Architecture; Computer science; Mobile apps; World Wide Web; Information retrieval; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005957433,0.001553307,0.001084791,0.00397559,0.001918832,0.006784483,0.002495798,0.004651548,0.005608191],"category_scores_gemma":[0.01097919,0.001075108,0.001052201,0.001999243,0.002603895,0.006199397,0.003817788,0.003776969,0.006289151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780335,"about_ca_system_score_gemma":0.007961848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01185165,"about_ca_topic_score_gemma":0.009601808,"domain_scores_codex":[0.9910225,0.001043806,0.0009328701,0.000476002,0.004909408,0.001615448],"domain_scores_gemma":[0.9917794,0.001658219,0.0006393861,0.001146048,0.003894367,0.000882623],"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":[0.001078149,0.001830663,0.01342033,0.00243077,0.0000995529,0.003010803,0.004740834,0.009374006,0.1171557,0.3587198,0.1581344,0.330005],"study_design_scores_gemma":[0.0001202753,0.0009547999,0.01040512,0.001635624,0.0001543652,0.002728764,0.002025311,0.02703689,0.07535936,0.03495256,0.8443573,0.0002696755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1546751,0.002533222,0.4930501,0.01368583,0.001546952,0.00744605,0.01188308,0.02748352,0.2876962],"genre_scores_gemma":[0.3113448,0.004867387,0.4456278,0.003776731,0.0008690147,0.005958729,0.05668831,0.006407976,0.1644592],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01185165,"threshold_uncertainty_score":0.0315063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631848893105665,"score_gpt":0.229420607313194,"score_spread":0.2131021183821374,"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."}}