{"id":"W2911615897","doi":"10.1371/journal.pcbi.1006373","title":"Designing and running an advanced Bioinformatics and genome analyses course in Tunisia","year":2019,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Pasteur de Tunis; Stockholms Universitet; McGill University","keywords":"Genome; Computer science; Data science; Bioinformatics; Biology; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002320767,0.000132788,0.0001891965,0.0001208326,0.00006017357,0.00003111967,0.0001253033,0.0001434046,0.00001378163],"category_scores_gemma":[0.00007137141,0.00011695,0.00002199977,0.0000926016,0.0002136134,0.00001410919,0.0001462642,0.0001070768,0.0000115043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009604538,"about_ca_system_score_gemma":0.00008777708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006388605,"about_ca_topic_score_gemma":0.00000830102,"domain_scores_codex":[0.9990299,0.00005174518,0.0002992954,0.0002309191,0.0001244155,0.0002637506],"domain_scores_gemma":[0.9995001,0.00006333247,0.00007964149,0.0001281466,0.00009432788,0.0001344741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001750314,0.0001822285,0.0864298,0.0001936495,0.000156995,0.000003838794,0.0007140002,0.00592551,0.8855892,0.0004487755,0.00002216014,0.02015884],"study_design_scores_gemma":[0.006895236,0.005851717,0.4430524,0.0001454775,0.00008231797,0.0001187404,0.004139328,0.4998398,0.02872221,0.00631351,0.003321675,0.001517583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927248,0.0005891666,0.006021366,0.0001072341,0.00003584679,0.0002105072,0.00002084056,0.000009235539,0.0002809774],"genre_scores_gemma":[0.9557455,0.0002387549,0.04314895,0.0002861756,0.0000399836,0.00000672475,0.0004966222,0.000008915609,0.0000284109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.856867,"threshold_uncertainty_score":0.4769082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0344602558243824,"score_gpt":0.335752664074609,"score_spread":0.3012924082502266,"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."}}