{"id":"W2909520282","doi":"10.26180/4037340","title":"Metadata and ISO 9000 compliance","year":2016,"lang":"en","type":"article","venue":"Open MIND","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; Compliance (psychology); Computer science; World Wide Web; Information retrieval; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003945969,0.00004465545,0.00005696583,0.00001049378,0.00002126934,0.00009997882,0.000120752,0.00001652312,0.0009614395],"category_scores_gemma":[0.000004781175,0.00003040947,0.000004274511,0.00001906905,0.000009823733,0.0003578559,0.00005030765,0.00001620119,0.0001014328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005357356,"about_ca_system_score_gemma":0.000002843933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003941386,"about_ca_topic_score_gemma":0.000007988492,"domain_scores_codex":[0.9997631,0.000002490359,0.00005314423,0.00008623186,0.00002894621,0.00006610026],"domain_scores_gemma":[0.9998471,0.00001134769,0.000008312586,0.0001014917,0.000006219297,0.00002552846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006884594,0.00000713153,0.0002954616,0.00002916597,0.00002269114,0.000002354716,0.0001413275,0.002275753,0.001159835,0.00006315564,0.001017103,0.9949791],"study_design_scores_gemma":[0.0009233919,0.00002536516,0.004912322,0.0001863108,0.00002431861,0.00000904592,0.00002304101,0.0159331,0.1072487,0.0002827683,0.8700403,0.0003913589],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5642028,0.001342765,0.2766209,0.0009465892,0.0004492218,0.0006697197,0.0001326067,0.00003742172,0.155598],"genre_scores_gemma":[0.973371,0.000121019,0.01914446,0.00001193739,0.00002169884,0.000004873754,0.000004467779,0.00001034287,0.007310167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9945878,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05320170508481982,"score_gpt":0.2731139444949702,"score_spread":0.2199122394101504,"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."}}