{"id":"W1994248072","doi":"10.3389/fgene.2014.00259","title":"Freedom in bioinformatics","year":2014,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Cardiologie et de Pneumologie de Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genomics; Computer science; Genome; Computational biology; Bioinformatics; Biology; Data science; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001782021,0.000124046,0.0001372211,0.0001195338,0.00001464942,0.0000131364,0.0001880314,0.0001337013,0.000003384852],"category_scores_gemma":[0.00005522787,0.0001366591,0.00003706796,0.0001346727,0.00004047847,0.000001704215,0.00007078422,0.00009190074,0.000004584985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001605157,"about_ca_system_score_gemma":0.00002084749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006412221,"about_ca_topic_score_gemma":0.00006080878,"domain_scores_codex":[0.9992071,0.00002310353,0.0002467476,0.0001723469,0.00008881291,0.000261938],"domain_scores_gemma":[0.9995928,0.000004736645,0.00002999184,0.0003015748,0.00001682222,0.00005408002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006861026,0.0001385719,0.5823929,0.0001322712,0.00004250568,0.00000593245,0.0006239707,0.2573187,0.03466887,0.000130223,0.03059238,0.09388515],"study_design_scores_gemma":[0.003395901,0.0005270929,0.1145254,0.00007659526,0.00002096108,0.00001597568,0.0006842411,0.4965129,0.08296808,0.0007282106,0.299443,0.001101625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4868784,0.002311702,0.5059292,0.00005552159,0.001072931,0.0001825652,0.000005421853,0.00001275205,0.003551452],"genre_scores_gemma":[0.8599053,0.0005899417,0.1389821,0.0001119496,0.0001749168,0.00001189801,0.00003281049,0.00002338569,0.0001676553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4678675,"threshold_uncertainty_score":0.5572795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003547129598868935,"score_gpt":0.2394114418769984,"score_spread":0.2358643122781295,"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."}}