{"id":"W2479055064","doi":"10.1007/978-3-319-12418-6","title":"Advances in Bioinformatics and Computational Biology","year":2014,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computational biology; Computer science; Biology; Bioinformatics; Data science","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":[0.001786345,0.002338378,0.002342683,0.003176539,0.0005767857,0.004431945,0.002281023,0.001236473,0.03435008],"category_scores_gemma":[0.004207591,0.001081003,0.001086645,0.005472276,0.001586388,0.006207451,0.002479688,0.006574469,0.04005667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009417632,"about_ca_system_score_gemma":0.001766058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007706941,"about_ca_topic_score_gemma":0.001200353,"domain_scores_codex":[0.9986431,0.0001954657,0.00007964921,0.0002085752,0.0008104486,0.00006271737],"domain_scores_gemma":[0.9965217,0.002045199,0.0001248741,0.0003880929,0.0006260491,0.0002940712],"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":[0.00003199909,0.00007329318,0.0001648281,0.001237999,0.00006760415,0.00005952435,0.0001409063,0.001477899,0.001091674,0.07655815,0.4810959,0.4380002],"study_design_scores_gemma":[0.0000120815,0.00001947197,0.0002762232,0.0004118946,0.00001869985,0.0002320742,0.00003135031,0.00173615,0.0003520587,0.08465966,0.91223,0.00002039074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.001176742,0.5020282,0.2073883,0.01558795,0.01714318,0.0001714387,0.001266971,0.00352331,0.2517139],"genre_scores_gemma":[0.01093756,0.4001571,0.1828423,0.008017515,0.01520967,0.0003330134,0.003703761,0.002329571,0.3764695],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03435008,"threshold_uncertainty_score":0.1149125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009748558155428728,"score_gpt":0.2821677168817134,"score_spread":0.2724191587262847,"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."}}