{"id":"W3041697903","doi":"10.2139/ssrn.3331162","title":"Open Data Charter Measurement Guide","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Charter; Open data; Open government; Usability; Government (linguistics); Political science; Jargon; Work (physics); Data quality; Data science; Public relations; Computer science; Engineering; Law; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02872423,0.001131109,0.001243927,0.01239477,0.001730695,0.008064589,0.002402379,0.001565918,0.1338873],"category_scores_gemma":[0.1308001,0.001330447,0.0009293385,0.01083705,0.001410281,0.008885185,0.003903069,0.004094503,0.100589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002788272,"about_ca_system_score_gemma":0.01073161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008083856,"about_ca_topic_score_gemma":0.007365153,"domain_scores_codex":[0.9670282,0.008921092,0.003941217,0.002231777,0.01642884,0.001448815],"domain_scores_gemma":[0.8499277,0.05591969,0.007683657,0.02579403,0.05714511,0.00352984],"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":[0.0002426187,0.0002655637,0.003751931,0.0005621178,0.00002212466,0.00005953684,0.0005377521,0.001101461,0.001496105,0.07588837,0.6437567,0.2723158],"study_design_scores_gemma":[0.00005903415,0.0001351802,0.004928899,0.0006844165,0.00001699629,0.0001215789,0.0004887033,0.002960919,0.00324584,0.02165672,0.9656121,0.00008962548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006541972,0.001132847,0.4183909,0.005446654,0.001698366,0.00817314,0.1923677,0.0772652,0.2889832],"genre_scores_gemma":[0.05995673,0.002485762,0.458563,0.003945181,0.0008125509,0.02002706,0.1991979,0.02083324,0.2341786],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9975976,"threshold_uncertainty_score":0.4478976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08881028500650713,"score_gpt":0.329690035705394,"score_spread":0.2408797506988868,"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."}}