{"id":"W1966502017","doi":"10.1016/j.patcog.2006.07.004","title":"Special Issue on Bioinformatics","year":2006,"lang":"en","type":"article","venue":"Pattern Recognition","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computational biology; Bioinformatics; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.003708685,0.002916354,0.004332432,0.007756355,0.001831512,0.007277462,0.002374418,0.003506327,0.2780051],"category_scores_gemma":[0.01327865,0.00107625,0.001268333,0.006836781,0.001010376,0.006183079,0.003801689,0.004913069,0.238572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378609,"about_ca_system_score_gemma":0.002466609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008737535,"about_ca_topic_score_gemma":0.002332322,"domain_scores_codex":[0.9966504,0.0006651121,0.0002978341,0.0005951049,0.001569826,0.0002217519],"domain_scores_gemma":[0.9812975,0.004386713,0.0007766873,0.002358916,0.007109874,0.004070168],"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":[0.0000147475,0.00002052262,0.00004861278,0.000150534,0.000008481192,0.0000205576,0.000005878236,0.0000528664,0.000178841,0.0007623928,0.958576,0.04016068],"study_design_scores_gemma":[0.00001338361,0.00002704071,0.0002238277,0.0001011379,0.000008155101,0.00009260159,0.000009764511,0.0002601701,0.00009020278,0.002508398,0.9966569,0.000008508932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0009395111,0.05366326,0.03353081,0.06888991,0.6007956,0.0008306256,0.004668263,0.008318623,0.2283634],"genre_scores_gemma":[0.002773941,0.026647,0.008448112,0.01931624,0.3001471,0.0004944897,0.00896063,0.002900441,0.6303121],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2780051,"threshold_uncertainty_score":0.9300198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01961332493917685,"score_gpt":0.2667753312268201,"score_spread":0.2471620062876433,"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."}}