{"id":"W2314437822","doi":"10.5623/cig2012-054","title":"Legal Issues in Maps Built on Third Party Base Layers","year":2012,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Volunteered geographic information; Geospatial analysis; License; Base (topology); Trademark; Geographic information system; Knowledge base; Computer science; Key (lock); Intellectual property; Database; World Wide Web; Computer security; Data science; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.05978237,0.0004235457,0.0005483711,0.002977441,0.009471511,0.02086586,0.004790904,0.007394,0.009643584],"category_scores_gemma":[0.1289466,0.001086333,0.001041637,0.005196534,0.0166222,0.02241942,0.01260722,0.006934723,0.001891641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004347735,"about_ca_system_score_gemma":0.009314249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01390787,"about_ca_topic_score_gemma":0.007547962,"domain_scores_codex":[0.9612627,0.01907019,0.002634051,0.002169343,0.01209765,0.002766166],"domain_scores_gemma":[0.8248677,0.1074974,0.008386171,0.04138368,0.01549025,0.002374956],"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":[0.00001734577,0.00002455898,0.001246393,0.00004980306,0.000008462511,0.0003332149,0.01338339,0.0005040476,0.0002742925,0.9607047,0.005670839,0.01778297],"study_design_scores_gemma":[0.00004798524,0.00004157075,0.004080212,0.0009748458,0.00004484329,0.001061695,0.01946422,0.00422583,0.003508132,0.5704147,0.3960397,0.00009622456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1472618,0.002804624,0.1752188,0.07455753,0.0007548904,0.0004589996,0.0007342547,0.0009016626,0.5973074],"genre_scores_gemma":[0.8923675,0.001945552,0.05492929,0.005299626,0.0005506253,0.0008119385,0.0004309854,0.0004980378,0.04316637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05978237,"threshold_uncertainty_score":0.3161632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115556022668272,"score_gpt":0.3142322865428825,"score_spread":0.2830767263161998,"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."}}