{"id":"W7133097011","doi":"","title":"Legal preparedness and proportionality of social distancing measures in Ontario's legislation","year":2006,"lang":"","type":"dissertation","venue":"TSpace","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Health Canada; Public Health Agency; Public Health Agency of Canada","keywords":"Preparedness; Proportionality (law); Legislation; Social distance; Pandemic; Sanctions; Distancing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001283682,0.0005675211,0.0009146737,0.0003750176,0.0002941283,0.000595657,0.0005508568,0.0003848528,0.00003362786],"category_scores_gemma":[0.0002719269,0.0006580892,0.0002254962,0.0006414395,0.0001336351,0.001757731,0.0001606905,0.0006706509,0.000002568565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001887815,"about_ca_system_score_gemma":0.004066458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.402189,"about_ca_topic_score_gemma":0.8920246,"domain_scores_codex":[0.9950033,0.000245424,0.00154027,0.001209726,0.001470141,0.0005311085],"domain_scores_gemma":[0.9970927,0.0002142758,0.001435467,0.0005116469,0.0006428143,0.0001030623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001307191,0.001104801,0.1139917,0.002563979,0.0002018317,0.0001354685,0.7755929,0.002303663,0.01230431,0.06832156,0.0001693733,0.02200314],"study_design_scores_gemma":[0.001358013,0.0001831575,0.977347,0.001033725,0.0001066742,0.00001076686,0.005500371,0.005287966,0.002200235,0.001378141,0.004403627,0.001190364],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703715,0.0001871357,0.01451379,0.0001946498,0.0005627124,0.0008839817,0.00001216325,0.00005361692,0.01322047],"genre_scores_gemma":[0.9924279,0.000001826245,0.0005634108,0.00002577474,0.00008535761,0.00004100122,0.000260845,0.00003221537,0.006561599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8633552,"threshold_uncertainty_score":0.9995871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04784103298886428,"score_gpt":0.3554192368756564,"score_spread":0.3075782038867921,"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."}}