{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01071889,0.0001565758,0.0003285199,0.0009746769,0.002186295,0.001357312,0.001996157,0.0001174995,0.001410373],"category_scores_gemma":[0.001333072,0.0001499792,0.0001406237,0.0006253046,0.001085116,0.00360851,0.001307356,0.0004094076,0.00002359942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007085345,"about_ca_system_score_gemma":0.00008621645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005432382,"about_ca_topic_score_gemma":0.0001038732,"domain_scores_codex":[0.9950747,0.0002110376,0.0003441377,0.001024549,0.002862632,0.0004829023],"domain_scores_gemma":[0.9954463,0.00149783,0.0003533829,0.001742432,0.0007056178,0.000254417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002133506,0.0001733774,0.006969042,0.000008400805,0.00006132463,0.0000772486,0.005759149,0.0001026618,0.001508436,0.0003922062,0.4202354,0.5644994],"study_design_scores_gemma":[0.003556415,0.0005927415,0.2785149,0.0002970314,0.00008526045,0.00002812633,0.04290888,0.126844,0.0004410614,0.03054328,0.5153436,0.0008447118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8129702,0.0001712903,0.1599186,0.009199178,0.003524293,0.0005702844,0.00005562256,0.00008034324,0.01351017],"genre_scores_gemma":[0.987222,0.0001085347,0.003731166,0.0000143638,0.0004806116,8.754561e-7,0.00001695517,0.000007761011,0.008417695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5636547,"threshold_uncertainty_score":0.9996794,"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."}}