{"id":"W2185251992","doi":"","title":"A CONCEPTUAL FRAMEWORK AND A RISK MANAGEMENT APPROACH FOR INTEROPERABILITY BETWEEN GEOSPATIAL DATACUBES","year":2010,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geospatial analysis; Computer science; Interoperability; Geospatial PDF; Semantic interoperability; Information retrieval; Geospatial metadata; Context (archaeology); Database; World Wide Web; Data science; Metadata; Geography; Meta Data Services; Remote sensing; Metadata repository","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":[0.01461305,0.001259798,0.0008192702,0.005319492,0.003202823,0.01423377,0.005183468,0.004756913,0.007145603],"category_scores_gemma":[0.01039197,0.001059401,0.00333374,0.004489684,0.007610809,0.01510829,0.008990224,0.003886433,0.00150503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004850404,"about_ca_system_score_gemma":0.008535936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01298679,"about_ca_topic_score_gemma":0.00738151,"domain_scores_codex":[0.9908198,0.004189717,0.0009483341,0.001141057,0.002272061,0.0006291261],"domain_scores_gemma":[0.9951493,0.001685475,0.0005764449,0.0008496232,0.001185548,0.0005536003],"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":[0.00001093782,0.00002327599,0.0003259924,0.00009477444,0.00002005823,0.0002167396,0.001563891,0.006112225,0.0003580691,0.9792739,0.001353348,0.01064673],"study_design_scores_gemma":[0.0000370991,0.00007792329,0.0004692097,0.0006605798,0.00006683477,0.0007346636,0.003844143,0.07017225,0.001195438,0.7230603,0.1995924,0.00008923536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003062288,0.0005542237,0.9776112,0.002896527,0.0001497534,0.000271203,0.0001388125,0.0005084014,0.01480766],"genre_scores_gemma":[0.1075916,0.001161358,0.8790555,0.0005815176,0.0001520283,0.000895511,0.000661882,0.0001726023,0.009727937],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01461305,"threshold_uncertainty_score":0.07728213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193038079233734,"score_gpt":0.247126818215199,"score_spread":0.2351964374228617,"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."}}