{"id":"W2806154479","doi":"10.3390/laws7020023","title":"A Right Not to Be Mapped? Augmented Reality, Real Property, and Zoning","year":2018,"lang":"en","type":"article","venue":"Laws","topic":"Digital Transformation in Law","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Real property; Trespass; Property (philosophy); Intellectual property; Context (archaeology); Easement; Property law; Augmented reality; Law and economics; Law; Internet privacy; Property rights; Business; Computer science; Sociology; Political science; Geography; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002534045,0.00009487791,0.0001794171,0.00008472554,0.00009708315,0.0001470053,0.0001290463,0.00004905133,0.0003812669],"category_scores_gemma":[0.00002530917,0.000084051,0.00003040738,0.000149576,0.00008532885,0.0003672274,0.00006334582,0.00004997533,0.0007994633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004025472,"about_ca_system_score_gemma":0.000006545843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006142787,"about_ca_topic_score_gemma":0.0002923002,"domain_scores_codex":[0.9991526,0.000005747839,0.0003530121,0.0002462327,0.00003543391,0.0002069699],"domain_scores_gemma":[0.9995673,0.00001412613,0.00007832788,0.0002127256,0.00002856112,0.00009890115],"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":[0.00003511324,0.0000450139,0.0026758,0.00003419903,0.00002569326,0.000002026135,0.001066825,0.000002771883,0.00006428853,0.9821867,0.01187367,0.001987937],"study_design_scores_gemma":[0.0004151253,0.0001523059,0.005099742,0.00002162586,0.000002460587,0.000004456625,0.00003325948,0.0005421551,0.0006933426,0.01272637,0.9800946,0.0002145917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09936348,0.00001512418,0.002237871,0.005046726,0.0002467685,0.0002515829,0.0001722825,0.0000730918,0.8925931],"genre_scores_gemma":[0.9831465,0.00002811987,0.00121934,0.001867603,0.0001239909,0.00002127453,0.00001776568,0.00001765163,0.01355776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9694603,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06572042944357856,"score_gpt":0.2640449431018677,"score_spread":0.1983245136582891,"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."}}