{"id":"W4248913927","doi":"10.3410/f.726319035.793523082","title":"Faculty Opinions recommendation of Genomic and Molecular Characterization of Miltefosine Resistance in Leishmania infantum Strains with Either Natural or Acquired Resistance through Experimental Selection of Intracellular Amastigotes.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Research on Leishmaniasis Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Miltefosine; Leishmania infantum; Amastigote; Leishmania; Biology; Selection (genetic algorithm); Resistance (ecology); Genomic selection; Natural selection; Leishmaniasis; Computational biology; Genetics; Gene; Computer science; Visceral leishmaniasis; Artificial intelligence; Ecology; World Wide Web; Genotype","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":[0.001547233,0.001606534,0.001825487,0.004201739,0.0005088533,0.001946782,0.00227753,0.002155463,0.05746419],"category_scores_gemma":[0.01252807,0.0005900529,0.001855127,0.005586944,0.0002944205,0.001135842,0.001631654,0.001596259,0.03450857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001390194,"about_ca_system_score_gemma":0.003800013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02242784,"about_ca_topic_score_gemma":0.05141095,"domain_scores_codex":[0.9985298,0.0002247639,0.0002693347,0.0004653902,0.0003503728,0.000160286],"domain_scores_gemma":[0.9946607,0.00148688,0.001128785,0.0007847388,0.001248206,0.0006906479],"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":[0.0003675814,0.00004653808,0.005874673,0.004353008,0.0002781317,0.00005134884,0.00002793717,0.0003196081,0.0004601193,0.0003771629,0.9812712,0.006572658],"study_design_scores_gemma":[0.001327719,0.00005861036,0.02799801,0.001829557,0.0004599571,0.0001631816,0.00008222929,0.00063982,0.0009509341,0.00104821,0.9653785,0.00006327918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001434486,0.00009749774,0.00003449053,0.00006328293,0.0000148259,0.00001375567,0.9992348,0.00008691889,0.0003109403],"genre_scores_gemma":[0.0006593688,0.0001348634,0.0002871693,0.0000864395,0.00000972053,0.00009714345,0.9981906,0.00003247286,0.0005022327],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05746419,"threshold_uncertainty_score":0.1922369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426913926792316,"score_gpt":0.3350907461748544,"score_spread":0.3108216069069312,"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."}}