{"id":"W4390982406","doi":"10.23977/acss.2023.071115","title":"Design and Research of Data-driven Scientific Research Management Platform","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yunnan Provincial Department of Education","keywords":"Research data; Data management; Data science; Computer science; Management science; Knowledge management; Engineering management; Systems engineering; Engineering; Database; Data curation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002530952,0.0005207599,0.0005318107,0.001593766,0.001262097,0.004476981,0.002371709,0.00116488,0.002243425],"category_scores_gemma":[0.002803056,0.00051606,0.0007654932,0.001303352,0.0005852872,0.004743203,0.00287262,0.0008852219,0.001002339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177608,"about_ca_system_score_gemma":0.004391036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320273,"about_ca_topic_score_gemma":0.0009746379,"domain_scores_codex":[0.9975083,0.000393253,0.0002912105,0.0005474619,0.0009278837,0.0003318745],"domain_scores_gemma":[0.9988242,0.0001269366,0.0001118269,0.0002120459,0.0005130174,0.0002119396],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008454088,0.0007916865,0.01919125,0.001263518,0.0003199401,0.002341812,0.002772165,0.0438249,0.0872697,0.3423,0.0187185,0.4803611],"study_design_scores_gemma":[0.000369088,0.0008692485,0.005926816,0.0002846178,0.0004012503,0.001835537,0.001474454,0.6628867,0.07365523,0.0619939,0.1900055,0.0002976748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03708364,0.0004151022,0.9440029,0.0008102874,0.0002402285,0.001089147,0.0002000929,0.002619885,0.0135388],"genre_scores_gemma":[0.482378,0.0007871563,0.4964134,0.000576003,0.0001709358,0.001867918,0.001224008,0.0001935596,0.01638894],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9974691,"threshold_uncertainty_score":0.01338512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7113757234689406,"score_gpt":0.5370656310658665,"score_spread":0.1743100924030742,"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."}}