{"id":"W2056707593","doi":"10.3390/ijgi2030766","title":"Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model","year":2013,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Microsoft Research","keywords":"Volunteered geographic information; Interoperability; Computer science; Semantic interoperability; Data model (GIS); Information retrieval; World Wide Web; Data science; Database; Geography; Artificial intelligence","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":[0.0108682,0.001384428,0.001909764,0.00837827,0.002575727,0.01575882,0.005842846,0.00490643,0.002279174],"category_scores_gemma":[0.007925871,0.001584098,0.00477062,0.007434359,0.008935889,0.02690691,0.008920649,0.005219893,0.001028188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004339767,"about_ca_system_score_gemma":0.004714739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133165,"about_ca_topic_score_gemma":0.007686359,"domain_scores_codex":[0.9915358,0.002990589,0.001179373,0.0013038,0.002371409,0.0006190151],"domain_scores_gemma":[0.9944646,0.001597628,0.0005173681,0.001862612,0.001096573,0.0004611989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001417633,0.00004774328,0.0003353557,0.00009086432,0.00003641798,0.0002516294,0.0009423019,0.006479487,0.0004796566,0.9833251,0.001012894,0.006984279],"study_design_scores_gemma":[0.00004225631,0.00008522766,0.0005115893,0.0004384291,0.0001527834,0.0005474773,0.001144217,0.1555187,0.001785003,0.7490278,0.09063939,0.0001071769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005972402,0.00108584,0.9739907,0.004012703,0.0002068437,0.0002842366,0.0003412596,0.0005675677,0.01353846],"genre_scores_gemma":[0.1605958,0.003527744,0.825187,0.001072335,0.0004224172,0.001120634,0.001514935,0.0003395675,0.006219678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01575882,"threshold_uncertainty_score":0.05747724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110146024389159,"score_gpt":0.2823430878791302,"score_spread":0.2612416276352386,"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."}}