{"id":"W3204354299","doi":"","title":"A Data Discovery Platform Empowered by Knowledge GraphTechnologies: Challenges and Opportunities.","year":2021,"lang":"en","type":"article","venue":"Very Large Data Bases","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Knowledge extraction; Computer science; Data science; Knowledge management; Data mining","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0004824869,0.000234067,0.0003199592,0.0001165319,0.0001680249,0.0003967033,0.00411381,0.0001241912,0.00001593511],"category_scores_gemma":[0.0005744661,0.0002020284,0.00002771643,0.0001967104,0.0001598667,0.004985867,0.0112462,0.0001651378,0.00001443424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001239594,"about_ca_system_score_gemma":0.0002260132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001695238,"about_ca_topic_score_gemma":0.0005261635,"domain_scores_codex":[0.9978898,0.00005947616,0.000260667,0.001126801,0.0002149674,0.0004482617],"domain_scores_gemma":[0.9939222,0.0004460079,0.00008491211,0.005411199,0.00005272322,0.0000829791],"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":[0.00002176012,0.000833668,0.0004901874,0.0003045017,0.0002337728,0.001028829,0.0005514847,1.381859e-7,0.0002253689,0.1700453,0.5884025,0.2378625],"study_design_scores_gemma":[0.0006310628,0.00007702503,0.0006378284,0.000134712,0.00003904611,0.0001447056,0.005316155,0.006736267,0.0009613959,0.002123018,0.982687,0.0005117789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04158713,0.7618311,0.1169702,0.01658742,0.002575241,0.0005377049,0.04829686,0.002490912,0.00912336],"genre_scores_gemma":[0.5386922,0.4071991,0.02360753,0.001981314,0.000242318,0.00004421069,0.02633686,0.00007020742,0.001826303],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4971051,"threshold_uncertainty_score":0.9967507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2241899612295714,"score_gpt":0.3216368435572881,"score_spread":0.09744688232771662,"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."}}