{"id":"W2162541870","doi":"10.1109/cts.2010.5478494","title":"SWE-FE: Extending folksonomies to the Sensor Web","year":2010,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary; Canarie","keywords":"Folksonomy; Geospatial analysis; Computer science; World Wide Web; Suite; Sensor web; The Internet; Key (lock); Information retrieval; Remote sensing; Geography; Computer security; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002641745,0.0007704227,0.0007276221,0.003561221,0.0007972346,0.001805269,0.001446219,0.0007756788,0.003196572],"category_scores_gemma":[0.01300244,0.0004748059,0.0008926849,0.002686454,0.0004818761,0.00573101,0.002678126,0.001113245,0.00176655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004305965,"about_ca_system_score_gemma":0.0007154929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003799954,"about_ca_topic_score_gemma":0.009410496,"domain_scores_codex":[0.9981562,0.0005417968,0.0001838997,0.0003251923,0.0007192497,0.00007346603],"domain_scores_gemma":[0.992856,0.002699516,0.0003274417,0.003023555,0.0008543783,0.0002389309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002747893,0.0004546897,0.00819242,0.0006945013,0.0002729254,0.0002345775,0.001445289,0.02147014,0.009987713,0.01990113,0.02450292,0.9125689],"study_design_scores_gemma":[0.00008524799,0.0002302486,0.01203627,0.0003211239,0.0001045205,0.001452399,0.001133333,0.639214,0.03501454,0.09027342,0.2199414,0.0001934783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01808734,0.0003058216,0.956998,0.0002778514,0.00006954138,0.0003438511,0.002352969,0.01738277,0.004181779],"genre_scores_gemma":[0.07010895,0.0002631718,0.9204521,0.0001504384,0.00003347316,0.0002047264,0.005605756,0.0007145219,0.002466928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003799954,"threshold_uncertainty_score":0.01397103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295957758220698,"score_gpt":0.2433209659907735,"score_spread":0.2303613884085665,"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."}}