{"id":"W3005981645","doi":"","title":"Robots, Regulation, and the Changing Nature of Public Spaces","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal Systems and Judicial Processes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Windsor","funders":"","keywords":"Robot; Public space; Commercialization; Space (punctuation); Robotics; Business; Political science; Engineering; Public relations; Computer security; Artificial intelligence; Computer science; Law; Architectural engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006935702,0.0002632735,0.0003627723,0.00127411,0.008847071,0.01534753,0.001847452,0.006198272,0.006258104],"category_scores_gemma":[0.01158719,0.0005063741,0.0007944233,0.001132826,0.05625233,0.0138723,0.008343282,0.006263384,0.0008257614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009584235,"about_ca_system_score_gemma":0.006206419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02890755,"about_ca_topic_score_gemma":0.02614369,"domain_scores_codex":[0.987597,0.004813962,0.0004001996,0.002127345,0.003144711,0.001916786],"domain_scores_gemma":[0.9869276,0.00575659,0.002352437,0.001606212,0.002255284,0.001101908],"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":[0.00001071695,0.00002288985,0.001996235,0.00003877989,0.000006141947,0.0001208258,0.01094204,0.0004265333,0.0001580583,0.9723583,0.005455769,0.008463735],"study_design_scores_gemma":[0.00002329077,0.00005620888,0.008718771,0.0005790254,0.00002214216,0.000271288,0.02865603,0.001128936,0.000701878,0.3960759,0.5636585,0.0001079801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.11967,0.008952636,0.037244,0.161692,0.001460305,0.0000851531,0.0001410443,0.0002014251,0.6705535],"genre_scores_gemma":[0.9605046,0.002272302,0.002592166,0.01108348,0.0005431471,0.0001061743,0.00003798903,0.00007623925,0.02278387],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02890755,"threshold_uncertainty_score":0.06953883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231181112767153,"score_gpt":0.2593195108787194,"score_spread":0.2470076997510479,"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."}}