{"id":"W6958417646","doi":"10.6084/m9.figshare.12050130","title":"Additional file 1 of Clinical and microbiological characteristics of Cryptococcus gattii isolated from 7 hospitals in China","year":2020,"lang":"fr","type":"article","venue":"Open MIND","topic":"Environmental and Biological Research in Conflict Zones","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multilocus sequence typing; Cryptococcus gattii; GenBank; Genotype; Genotyping; Typing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001332076,0.0009393763,0.001187014,0.002127758,0.0006899383,0.001338238,0.001269696,0.0009979374,0.7689823],"category_scores_gemma":[0.01806632,0.0004405708,0.0006235894,0.004977008,0.0002400411,0.001416844,0.0007983152,0.0006671866,0.08854318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000955706,"about_ca_system_score_gemma":0.002582819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079265,"about_ca_topic_score_gemma":0.01368058,"domain_scores_codex":[0.999207,0.000105683,0.0002300082,0.0002233721,0.000121438,0.000112525],"domain_scores_gemma":[0.9921725,0.004423913,0.0009333311,0.000645424,0.001430521,0.0003942622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004564452,0.00008717189,0.005650473,0.004337691,0.00005125201,0.0001393388,0.00007812093,0.0002267141,0.000146035,0.000526145,0.9738037,0.01449688],"study_design_scores_gemma":[0.005848651,0.0004143355,0.1015999,0.007517932,0.0002960662,0.001102062,0.001185897,0.002206221,0.0008973902,0.00773116,0.8710145,0.0001860258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003570554,0.00002716473,0.000112947,0.0001118379,0.00003157445,0.00008482693,0.9986168,0.00008636498,0.0005712856],"genre_scores_gemma":[0.0106175,0.0002186055,0.002003775,0.0008330843,0.0001248873,0.002164378,0.9773082,0.0002161693,0.006513436],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7689823,"threshold_uncertainty_score":0.3295187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06483519012289796,"score_gpt":0.3266287727897199,"score_spread":0.261793582666822,"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."}}