{"id":"W4249816386","doi":"10.1163/2210-7975_hrd-9902-0151","title":"submission-from-andrey-rylkov-foundation-for-health-and-social-justice-and-canadian-hivaids-legal-network1","year":2016,"lang":"en","type":"dataset","venue":"Human Rights Documents online","topic":"European and International Law Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Foundation (evidence); Economic Justice; Sociology; Law; Political science; Criminology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006056259,0.0004484562,0.0006246576,0.0002746948,0.005020196,0.000477648,0.0006304837,0.0002742411,0.002068114],"category_scores_gemma":[0.000138921,0.0003440112,0.000133419,0.0001055761,0.0006026378,0.0004194358,0.0001698493,0.0003467907,0.0001908459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004951035,"about_ca_system_score_gemma":0.0004468466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1127946,"about_ca_topic_score_gemma":0.4608895,"domain_scores_codex":[0.9967731,0.0003176208,0.0007116783,0.0007499119,0.0006968562,0.0007507846],"domain_scores_gemma":[0.9979616,0.0003389564,0.0005053343,0.0003048932,0.0002741397,0.000615107],"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":[0.00001916305,0.00006378874,0.00001279933,0.00007449309,0.0001849155,0.00000822939,0.0003326403,3.5555e-8,4.090844e-7,0.07348154,0.9250636,0.0007583929],"study_design_scores_gemma":[0.0007036483,0.00009069696,0.0001907484,0.0002873695,0.0001935736,8.234775e-7,0.00009973782,0.00000108377,2.718413e-7,0.01001548,0.987976,0.0004405564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005009267,0.0008946378,0.000008625251,0.008770573,0.001569072,0.0008103697,0.9788039,0.00006777945,0.008574144],"genre_scores_gemma":[0.0006712187,0.00314172,0.0001867342,0.003595487,0.005658178,0.0000468387,0.9369862,0.00004540491,0.04966821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3480949,"threshold_uncertainty_score":0.9999012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287679922507068,"score_gpt":0.3666426647380515,"score_spread":0.3337658655129808,"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."}}