{"id":"W4402265320","doi":"10.62973/12-146","title":"OGC OWS-9 Web Feature Service Temporality Extension Engineering Report","year":2013,"lang":"en","type":"report","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"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":"Temporality; Extension (predicate logic); Web service; Feature (linguistics); Service (business); World Wide Web; Computer science; Geography; Business; Linguistics","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":[0.01121252,0.001040095,0.0005634664,0.002515334,0.001420032,0.004096636,0.001950772,0.002042459,0.03055111],"category_scores_gemma":[0.01137333,0.0006747424,0.0007917145,0.002109779,0.0006907392,0.003529084,0.001913986,0.002714704,0.02510079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004620507,"about_ca_system_score_gemma":0.01668947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0628434,"about_ca_topic_score_gemma":0.03215243,"domain_scores_codex":[0.9912101,0.001001993,0.000309711,0.0003529315,0.00635777,0.000767477],"domain_scores_gemma":[0.9893003,0.001061265,0.0003704403,0.001613875,0.007091772,0.0005622369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005083638,0.0006802426,0.001879842,0.0004397668,0.00002852194,0.0003832477,0.0004778912,0.006914327,0.0177281,0.07351334,0.6684768,0.2289696],"study_design_scores_gemma":[0.00005823785,0.0001199529,0.0009212809,0.0001464331,0.00001145294,0.0001315354,0.0001229943,0.006139261,0.01171705,0.00443481,0.9761419,0.00005510999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02130423,0.001240679,0.4002051,0.01110639,0.003136873,0.005380147,0.05351711,0.04022094,0.4638886],"genre_scores_gemma":[0.05682943,0.002857807,0.4454627,0.002648941,0.0007285698,0.003773374,0.1880742,0.01455178,0.2850733],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0628434,"threshold_uncertainty_score":0.1249552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842104936171973,"score_gpt":0.3159161585627908,"score_spread":0.2774951092010711,"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."}}