{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01740951,0.0003107811,0.0003834164,0.009760164,0.002038582,0.0105887,0.001410701,0.002582904,0.01987198],"category_scores_gemma":[0.08898117,0.0004392662,0.0003791163,0.01241652,0.002971658,0.01037725,0.003028656,0.001381411,0.009060943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003692442,"about_ca_system_score_gemma":0.01147374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01447729,"about_ca_topic_score_gemma":0.008599276,"domain_scores_codex":[0.9564606,0.008845033,0.006498769,0.001862803,0.0251655,0.001167392],"domain_scores_gemma":[0.9365079,0.01385844,0.008945036,0.009433988,0.03001497,0.001239668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000252095,0.000378528,0.0213837,0.0007794806,0.00003564706,0.0002879218,0.002996458,0.001356129,0.002711013,0.582323,0.1177205,0.2697754],"study_design_scores_gemma":[0.00006406302,0.000165239,0.02680216,0.001864779,0.0000592876,0.0007361372,0.003580701,0.004334934,0.005156578,0.1529265,0.8041636,0.0001460146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06327584,0.002283376,0.05601846,0.01427089,0.001355222,0.0009248944,0.009827594,0.002525197,0.8495185],"genre_scores_gemma":[0.7005644,0.006096295,0.09968869,0.004265558,0.001067286,0.001320175,0.04658371,0.001776625,0.1386372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01987198,"threshold_uncertainty_score":0.09207135,"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."}}