{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001335425,0.0000946891,0.0001671914,0.0001271948,0.0003094763,0.00004858878,0.0001484554,0.00006765731,0.0001900331],"category_scores_gemma":[0.0002644852,0.00008077729,0.00005015049,0.0003573695,0.0001507956,0.0004887215,0.00003708418,0.00009376939,0.001295993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004922035,"about_ca_system_score_gemma":0.00002721137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003468163,"about_ca_topic_score_gemma":0.001559223,"domain_scores_codex":[0.9986144,0.0001356063,0.0002803828,0.00008187394,0.0004334328,0.0004542964],"domain_scores_gemma":[0.9994726,0.0001354392,0.00008488775,0.0001752948,0.00004872601,0.00008310412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001069407,0.0001230577,0.1183566,0.00005964017,0.00003388356,0.000003430708,0.1194816,0.0000157033,0.000006391912,0.7004123,0.06030986,0.001186796],"study_design_scores_gemma":[0.0003427843,0.0000352279,0.05633378,0.00008760145,0.00001043248,0.000001471673,0.05114451,0.00002777655,0.00004727783,0.004336515,0.8873723,0.0002603557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5159706,0.0002066738,0.00001646263,0.00545181,0.0006477181,0.0003172941,0.000007030329,0.0001169057,0.4772655],"genre_scores_gemma":[0.9966113,0.00003269671,0.000290343,0.0004678301,0.0002219606,0.00004440658,0.000002963519,0.000004716159,0.00232378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8270624,"threshold_uncertainty_score":0.9994816,"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."}}