{"id":"W2474238770","doi":"","title":"GEOSPATIAL INFORMATION AS A TOOL IN LEGAL DISPUTE RESOLUTION","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Demonstrative; Geography; Cartography; Representation (politics); Information retrieval; Computer science; Data science; Remote sensing; Political science; Law; Politics; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009357555,0.00008226417,0.0001473876,0.0002042824,0.0002404594,0.0001360701,0.0001495864,0.00008515678,0.0002983039],"category_scores_gemma":[0.0002981553,0.00007970276,0.00004772952,0.0004314065,0.00007033363,0.001830448,0.00005483515,0.00008926904,0.003718356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009515094,"about_ca_system_score_gemma":0.0001075269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007911735,"about_ca_topic_score_gemma":0.002563569,"domain_scores_codex":[0.9985797,0.00007757353,0.000440647,0.00007585644,0.0005165415,0.0003096225],"domain_scores_gemma":[0.9994605,0.00007208056,0.0001540209,0.0001633003,0.0001180795,0.00003208522],"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":[0.00004120656,0.00003868661,0.05052111,0.0001409731,0.00003180789,0.000001887099,0.1228955,0.0003039124,0.00000760442,0.8139499,0.00319635,0.008871048],"study_design_scores_gemma":[0.001599713,0.0001247293,0.2621507,0.0002041764,0.00001533186,0.000006386056,0.0560911,0.005139805,0.00001054692,0.0114886,0.6626449,0.000524038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7385849,0.00001232419,0.0004330972,0.001278374,0.0004896388,0.0006676987,0.000004719185,0.00009021582,0.258439],"genre_scores_gemma":[0.9982049,0.00001299091,0.0003045934,0.0002519155,0.00006260329,0.0000501372,0.00001460443,0.000002801145,0.001095462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8024613,"threshold_uncertainty_score":0.9986947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00528371028914759,"score_gpt":0.2466755628529582,"score_spread":0.2413918525638106,"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."}}