{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005058121,0.0009452398,0.0004369729,0.0006651109,0.002733144,0.002353085,0.001799784,0.001658264,0.01049169],"category_scores_gemma":[0.004851974,0.0005671167,0.0005361486,0.00055036,0.0008770583,0.001173238,0.002623281,0.001535816,0.004151573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004432822,"about_ca_system_score_gemma":0.007877504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008747534,"about_ca_topic_score_gemma":0.0142362,"domain_scores_codex":[0.9982104,0.0006304439,0.00005086732,0.0003521377,0.0001478532,0.0006082824],"domain_scores_gemma":[0.9960777,0.0004445599,0.0001608849,0.0001758276,0.000592961,0.002548045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005714401,0.05263994,0.1016432,0.001359006,0.0001251355,0.006130994,0.09075441,0.01571566,0.09054031,0.006191916,0.06907611,0.5601089],"study_design_scores_gemma":[0.001837898,0.02251517,0.2780266,0.001400153,0.0001930108,0.001210254,0.09180411,0.02405502,0.07422893,0.009502183,0.4947544,0.00047214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9678953,0.0002081615,0.01464985,0.003370084,0.0003308927,0.001825835,0.0007703809,0.0007623702,0.01018712],"genre_scores_gemma":[0.8597891,0.0004985679,0.09098918,0.001894457,0.0002060474,0.003021219,0.002112767,0.00029752,0.04119124],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01049169,"threshold_uncertainty_score":0.03509825,"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."}}