{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01121473,0.0006647691,0.00113427,0.005595871,0.002279375,0.009866868,0.004000295,0.002536079,0.004012374],"category_scores_gemma":[0.01930998,0.0009371614,0.001182715,0.00732282,0.002171891,0.02057065,0.008293849,0.003648631,0.003478923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302148,"about_ca_system_score_gemma":0.005060351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00369212,"about_ca_topic_score_gemma":0.007509429,"domain_scores_codex":[0.9951439,0.001799107,0.0005061556,0.0006586167,0.001665306,0.0002268442],"domain_scores_gemma":[0.9811611,0.007809654,0.0006707755,0.006627701,0.002302397,0.00142837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003453619,0.0006385803,0.003486076,0.0009616516,0.0003266308,0.0007264086,0.000825921,0.008588339,0.009651171,0.4417422,0.09571669,0.436991],"study_design_scores_gemma":[0.00005338806,0.00006572019,0.0006128025,0.0003495199,0.00009962491,0.0003862936,0.0004718232,0.07500941,0.006944548,0.6422229,0.2737059,0.00007812567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006681268,0.001746543,0.9553997,0.01026071,0.0005118823,0.0002858862,0.0026212,0.01287586,0.009616979],"genre_scores_gemma":[0.04848458,0.002164298,0.931251,0.001904643,0.0002211382,0.0002742599,0.009752192,0.001114258,0.004833531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01121473,"threshold_uncertainty_score":0.0593099,"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."}}