{"id":"W2769229963","doi":"","title":"CADET: Computer Assisted Discovery Extraction and Translation","year":2017,"lang":"en","type":"article","venue":"Edinburgh Research Explorer (University of Edinburgh)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cadet; Computer science; Workflow; Workbench; Analytics; Software engineering; World Wide Web; Data science; Artificial intelligence; Database","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":[0.003595019,0.002502383,0.001711047,0.008250888,0.001946109,0.005647205,0.003062383,0.001926178,0.06625178],"category_scores_gemma":[0.01622815,0.001183907,0.002634192,0.006921852,0.001155573,0.003957903,0.00564796,0.002604696,0.0591247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284317,"about_ca_system_score_gemma":0.003905124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004538162,"about_ca_topic_score_gemma":0.006292203,"domain_scores_codex":[0.9961506,0.0009162613,0.000447542,0.0008596428,0.001366504,0.0002595336],"domain_scores_gemma":[0.9937235,0.002799087,0.000362136,0.00142198,0.001350337,0.0003430224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000568995,0.0001399302,0.000777461,0.001753189,0.0002548273,0.0006617105,0.0004891956,0.002835702,0.0093784,0.02018406,0.6273952,0.3355613],"study_design_scores_gemma":[0.00035932,0.0001325242,0.001100197,0.0003663939,0.0001302242,0.001169465,0.0004335411,0.03429535,0.02869523,0.04269418,0.8903861,0.0002374623],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002948709,0.001799601,0.610412,0.001159328,0.0009725054,0.0008575245,0.07114323,0.2843333,0.0263738],"genre_scores_gemma":[0.02219386,0.001494377,0.7709144,0.0007756587,0.000278218,0.001292191,0.1573917,0.02114343,0.02451619],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06625178,"threshold_uncertainty_score":0.2216343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4525046887300373,"score_gpt":0.4537653370310374,"score_spread":0.001260648301000145,"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."}}