{"id":"W2660795308","doi":"10.1093/bioinformatics/btx388","title":"The International Society for Computational Biology and WikiProject Computational Biology: celebrating 10 years of collaboration towards open access","year":2017,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Biology; Computational biology; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008159843,0.0001210135,0.0001625863,0.00004053458,0.0005280436,0.0007608759,0.001408737,0.0001666168,0.000007690473],"category_scores_gemma":[0.0009580859,0.0000947868,0.0000896282,0.00005334466,0.0006286883,0.00006775144,0.001340708,0.00007294647,0.000003020128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002402021,"about_ca_system_score_gemma":0.0006052931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003206142,"about_ca_topic_score_gemma":0.00003263305,"domain_scores_codex":[0.9989148,0.00001882633,0.0004924339,0.0001553983,0.0001943715,0.0002241506],"domain_scores_gemma":[0.9984774,0.0001329439,0.0004784944,0.0002708334,0.0005667137,0.00007359066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008417086,0.0002585882,0.01420879,0.0005678786,0.001392467,4.567499e-7,0.002146881,0.001838838,0.01166999,0.01829758,0.1468994,0.8018774],"study_design_scores_gemma":[0.004857838,0.001165596,0.02008788,0.0000637474,0.0000546679,0.00001129464,0.002044498,0.6328058,0.006496619,0.01851028,0.3133005,0.0006013448],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.733016,0.0007967688,0.2294035,0.01245489,0.002461813,0.004908033,0.003663126,0.000050568,0.01324522],"genre_scores_gemma":[0.8209649,0.0008844314,0.1727626,0.0008311534,0.0004311372,0.0001145645,0.003414512,0.00002410606,0.0005725897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.801276,"threshold_uncertainty_score":0.7337144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04959906079315056,"score_gpt":0.4039677086263673,"score_spread":0.3543686478332168,"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."}}