{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01277686,0.0005951143,0.0005752784,0.009893495,0.004094495,0.01651896,0.002286536,0.005072802,0.01370253],"category_scores_gemma":[0.02551925,0.0007915756,0.0005096491,0.01854811,0.03024961,0.03009809,0.006482011,0.003755521,0.00203407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004014859,"about_ca_system_score_gemma":0.002852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006399614,"about_ca_topic_score_gemma":0.004201276,"domain_scores_codex":[0.9915651,0.005594776,0.0004264804,0.0004008958,0.001749839,0.0002628825],"domain_scores_gemma":[0.9813946,0.01555859,0.0008791519,0.0009035143,0.0009593977,0.0003045757],"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":[0.00001491513,0.000007409637,0.0001411828,0.00009395194,0.000004522402,0.00009351168,0.001858238,0.0004460374,0.00003887767,0.9792656,0.004279812,0.01375601],"study_design_scores_gemma":[0.0000195639,0.00001355553,0.0002456608,0.0004483202,0.000008778068,0.0001407033,0.002350774,0.00206076,0.0002393192,0.8884903,0.1059561,0.00002625826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0350626,0.06972346,0.1825717,0.1597903,0.00362086,0.0001657313,0.0009802653,0.0003563432,0.5477288],"genre_scores_gemma":[0.8393882,0.03640524,0.08924221,0.005195344,0.002913115,0.0002790129,0.0004487995,0.0002524662,0.02587562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01651896,"threshold_uncertainty_score":0.06757134,"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."}}