{"id":"W2770828134","doi":"10.1145/3110025.3120958","title":"datumPIPE","year":2017,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Data quality; Data mining; Quality (philosophy); Data integrity; Set (abstract data type); Data set; Database; Artificial intelligence; Engineering","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":[0.002698799,0.001275387,0.0009716297,0.002262011,0.001087942,0.003838393,0.00391117,0.001337391,0.08051954],"category_scores_gemma":[0.01180729,0.001227254,0.001152303,0.001838402,0.001174092,0.004831423,0.00508327,0.002974468,0.0494813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121629,"about_ca_system_score_gemma":0.001921398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714908,"about_ca_topic_score_gemma":0.002415187,"domain_scores_codex":[0.9974166,0.0003843299,0.0001910453,0.0006971282,0.00108044,0.000230418],"domain_scores_gemma":[0.9942683,0.001769802,0.0002917872,0.001937088,0.00132702,0.0004059466],"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":[0.001631946,0.0002079475,0.003679192,0.001292008,0.0001271997,0.0005121603,0.0006150241,0.003371257,0.006837646,0.03251762,0.7676463,0.1815617],"study_design_scores_gemma":[0.0003088971,0.0001508301,0.001618242,0.0001713388,0.00005139591,0.0007228964,0.00009390841,0.01940621,0.01308279,0.01363751,0.9506515,0.0001043947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01192379,0.002029427,0.2256712,0.002366353,0.001211144,0.001448602,0.07334955,0.5061287,0.1758712],"genre_scores_gemma":[0.168524,0.002918018,0.2784605,0.003600843,0.0005949059,0.002898592,0.2640975,0.09437162,0.184534],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.08051954,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.644200694101546,"score_gpt":0.5830364078440127,"score_spread":0.06116428625753334,"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."}}