{"id":"W4384201926","doi":"10.1177/23996544231184053","title":"Legitimacy and space in the use of technologies for environmental and social governance: The cases of human trafficking and COVID-19 contact tracing","year":2023,"lang":"en","type":"article","venue":"Environment and Planning C Politics and Space","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Legitimacy; Corporate governance; Law and economics; Sociology; Political science; Public relations; Law; Business; Politics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002754605,0.0001375905,0.000191192,0.00005941885,0.0003150732,0.0001457175,0.0001132445,0.00005544975,3.418519e-7],"category_scores_gemma":[0.00008153367,0.0001028119,0.00002134348,0.00004460642,0.0003105909,0.0002427478,0.0001986166,0.0001109671,5.183535e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003071353,"about_ca_system_score_gemma":0.00001335528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001503825,"about_ca_topic_score_gemma":0.00001920586,"domain_scores_codex":[0.9991834,0.00003765917,0.0001629375,0.0002482279,0.0001418782,0.0002259088],"domain_scores_gemma":[0.998429,0.001291633,0.0001106607,0.0001278958,0.000001703534,0.00003911819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001204568,0.0001829143,0.5298476,0.00150011,0.0001595771,0.0002567869,0.1470004,0.001271877,0.01635811,0.2802314,0.000682816,0.02238796],"study_design_scores_gemma":[0.003194592,0.0009788565,0.9008125,0.0003425333,0.0001153987,0.000180245,0.03595705,0.03333514,0.001944431,0.004573386,0.01775213,0.0008137479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940649,0.001035539,0.001358012,0.003158127,0.00001134422,0.0002638982,0.00006607045,0.00002312409,0.00001902139],"genre_scores_gemma":[0.9991304,0.000409543,0.0002321081,0.0001531319,0.00001250993,0.000009453558,0.000004144291,0.000006827259,0.00004185267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3709649,"threshold_uncertainty_score":0.4192548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06780295318900524,"score_gpt":0.2943950044460149,"score_spread":0.2265920512570096,"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."}}