{"id":"W2054091742","doi":"10.1145/2480362.2480612","title":"BenchDW","year":2013,"lang":"en","type":"article","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Genome Canada","keywords":"Computer science; Benchmark (surveying); Variety (cybernetics); Metric (unit); Documentation; MIT License; Biological data; Data science; Data integration; License; Data mining; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007367593,0.001528241,0.001044686,0.003832487,0.001273661,0.005945861,0.005586014,0.001463823,0.05399497],"category_scores_gemma":[0.01199532,0.0009634969,0.001444534,0.004966782,0.0005907715,0.006013139,0.005455664,0.002204729,0.04163775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509697,"about_ca_system_score_gemma":0.003166092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004315597,"about_ca_topic_score_gemma":0.004507175,"domain_scores_codex":[0.9952695,0.0005541386,0.0005244363,0.0008377719,0.002354592,0.0004595149],"domain_scores_gemma":[0.990173,0.001539843,0.0005065854,0.002885651,0.004224026,0.0006708517],"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":[0.001528986,0.0006219693,0.007742195,0.001655577,0.0001959276,0.0003870564,0.0007030959,0.004296028,0.01221009,0.04015503,0.5495306,0.3809734],"study_design_scores_gemma":[0.0002375093,0.0004472597,0.005059465,0.0002544895,0.00006220465,0.0005476837,0.0003569924,0.01456999,0.01821353,0.017162,0.942961,0.0001278662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04692885,0.00256527,0.3062041,0.002460748,0.001257085,0.002375832,0.2104811,0.2423481,0.185379],"genre_scores_gemma":[0.07431071,0.001460786,0.2678615,0.001658223,0.0002769459,0.002193799,0.5676349,0.02427243,0.06033068],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.946005,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004045835485417911,"score_gpt":0.1918785596395681,"score_spread":0.1878327241541502,"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."}}