{"id":"W2757728064","doi":"10.3233/978-1-61499-769-6-1","title":"Open Science and Accelerating Discovery in Rare and Neglected Diseases","year":2017,"lang":"en","type":"book-chapter","venue":"IOS Press eBooks","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium","funders":"","keywords":"Data science; Computer science; Computational biology; Biology","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.003255544,0.0008256449,0.0005471444,0.002242219,0.001717426,0.009034855,0.001281163,0.00327532,0.04490256],"category_scores_gemma":[0.007524798,0.0003408088,0.0005749133,0.002929983,0.005136479,0.01056833,0.005124283,0.006124096,0.01644747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342855,"about_ca_system_score_gemma":0.004008216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008198594,"about_ca_topic_score_gemma":0.00205195,"domain_scores_codex":[0.9979994,0.0005526509,0.00007967753,0.000188255,0.001068923,0.0001110562],"domain_scores_gemma":[0.9934177,0.004604452,0.000234396,0.0005202749,0.0005278872,0.0006952442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002282993,0.00003001942,0.00009227973,0.0009701941,0.00001087305,0.0001231892,0.001338732,0.0003036669,0.000461213,0.3293431,0.4545702,0.2127337],"study_design_scores_gemma":[0.000003338801,0.000009353295,0.00008044737,0.0004552772,0.000002970543,0.0001663453,0.0001342406,0.00006527993,0.0001083767,0.06355921,0.9354087,0.00000649921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001665214,0.2981274,0.02163664,0.07222456,0.03610157,0.0001615673,0.0004337982,0.000969798,0.5686795],"genre_scores_gemma":[0.01886728,0.2257192,0.03106074,0.02418938,0.020306,0.0002705328,0.0005270372,0.0007271286,0.6783327],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9987189,"threshold_uncertainty_score":0.150214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03074540461022697,"score_gpt":0.2725527674478971,"score_spread":0.2418073628376701,"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."}}