{"id":"W6998428159","doi":"","title":"Access My Info: measuring data access rights around the world","year":2019,"lang":"en","type":"article","venue":"The International Islamic University Malaysia Repository (The International Islamic University Malaysia)","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public access; Data access; Measure (data warehouse); Key (lock); Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.005764604,0.000250031,0.0002139698,0.003470483,0.001309907,0.002520922,0.0005394336,0.0007181837,0.003851125],"category_scores_gemma":[0.02342342,0.0002606147,0.0003018921,0.002847699,0.001039344,0.005094776,0.003123885,0.0008161787,0.001003473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171161,"about_ca_system_score_gemma":0.0022855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02110141,"about_ca_topic_score_gemma":0.03196366,"domain_scores_codex":[0.9956543,0.001788318,0.0004160802,0.0003741882,0.001366922,0.0004000645],"domain_scores_gemma":[0.9702267,0.009572176,0.004631754,0.003503651,0.008825332,0.003240454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005631695,0.0009414519,0.6795403,0.0004729806,0.0001109242,0.0002123641,0.04413323,0.0005378069,0.004795606,0.008131987,0.02042921,0.240131],"study_design_scores_gemma":[0.00005684864,0.000812706,0.7410398,0.0002297709,0.0000843271,0.0002856585,0.09009267,0.002641951,0.006836706,0.003392448,0.1543611,0.0001659732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415571,0.0002334816,0.006075987,0.001254631,0.00005802302,0.001006111,0.006469564,0.0004206747,0.04292437],"genre_scores_gemma":[0.9669365,0.0002635969,0.0169711,0.0004057249,0.00003648781,0.001028535,0.004760072,0.0001036825,0.009494253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02110141,"threshold_uncertainty_score":0.0419572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409073223436957,"score_gpt":0.2692986035851677,"score_spread":0.2352078713507981,"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."}}