{"id":"W4252862171","doi":"10.3410/f.726298738.793520435","title":"Faculty Opinions recommendation of Computational analysis reveals a key regulator of cryptococcal virulence and determinant of host response.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Fungal Infections and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Key (lock); Host (biology); Virulence; Host response; Regulator; Biology; Computational biology; Data science; Computer science; Immunology; Genetics; Ecology; Immune system; Gene","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":[0.001213817,0.002139993,0.001262211,0.00272334,0.0007556893,0.002350009,0.002335216,0.002346582,0.02844369],"category_scores_gemma":[0.006723219,0.0004781229,0.002239165,0.002828994,0.0004132787,0.001049298,0.001687032,0.001668109,0.03654038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359684,"about_ca_system_score_gemma":0.00276377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02395009,"about_ca_topic_score_gemma":0.06597318,"domain_scores_codex":[0.9989442,0.0001854641,0.0001152003,0.0003145805,0.000286502,0.0001541263],"domain_scores_gemma":[0.9980246,0.0005596015,0.0001961079,0.0004294556,0.0004907714,0.0002995808],"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":[0.0003009905,0.00008218332,0.005953019,0.001141405,0.000122705,0.00006829506,0.00002464103,0.000901179,0.0005307518,0.0005250383,0.9831191,0.007230715],"study_design_scores_gemma":[0.0006387555,0.00009580341,0.02446076,0.000749595,0.0002454828,0.0002596314,0.00012927,0.005151211,0.001837686,0.002623748,0.9637406,0.00006753861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001258942,0.0003472894,0.0002017255,0.000383768,0.0001234757,0.00002674967,0.9952881,0.0006452363,0.001724691],"genre_scores_gemma":[0.002050433,0.0001727296,0.0005677629,0.0001196117,0.00002406488,0.00004163116,0.9959123,0.00004681722,0.001064781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02844369,"threshold_uncertainty_score":0.09515363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722282674654594,"score_gpt":0.3622277085400692,"score_spread":0.3350048817935233,"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."}}