{"id":"W7109678646","doi":"10.59350/j5chm-bfz56","title":"Key Takeaways from RightsCon Toronto 2018","year":2018,"lang":"","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Human rights; Event (particle physics); Digital rights; Public policy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003440879,0.0009309949,0.0005079473,0.001113233,0.009689003,0.008418651,0.001658007,0.006213594,0.336441],"category_scores_gemma":[0.006365135,0.0005472106,0.0006121682,0.001152478,0.001980048,0.003410144,0.006341821,0.006442176,0.06630349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02451745,"about_ca_system_score_gemma":0.03092412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4720112,"about_ca_topic_score_gemma":0.8095183,"domain_scores_codex":[0.9935988,0.0002990686,0.00009849661,0.000418967,0.003532905,0.002051661],"domain_scores_gemma":[0.9905472,0.000345299,0.0001322226,0.0003335211,0.002105947,0.006535682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001680396,0.000008577763,0.0001366746,0.00001886619,7.946987e-7,0.0001008895,0.0001237151,0.00001169866,0.0000631911,0.00269336,0.9933396,0.003485811],"study_design_scores_gemma":[0.000004717044,0.000005858901,0.000607439,0.00002355319,5.946056e-7,0.00001444135,0.000348195,0.00001214558,0.00004548056,0.0001859752,0.9987456,0.000005855343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003865076,0.003845897,0.0006684505,0.1865129,0.04974083,0.0004139467,0.004042925,0.0007966281,0.7501132],"genre_scores_gemma":[0.01150524,0.001075077,0.0002819136,0.01347198,0.002450568,0.00007682344,0.001342183,0.0002964595,0.9694997],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5279888,"threshold_uncertainty_score":0.9464863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151600727872272,"score_gpt":0.2792944859944109,"score_spread":0.2577784787156882,"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."}}