{"id":"W4394256272","doi":"10.6084/m9.figshare.12806999","title":"Multilocus Rickettsia typing and barcoding of BOLD Rickettsia contaminants","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rickettsia; Typing; Biology; Multilocus sequence typing; DNA barcoding; Microbiology; Virology; Genetics; Zoology; Genotype; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.00196426,0.001512626,0.001632187,0.004280929,0.001014565,0.002234987,0.002699403,0.001625386,0.04946042],"category_scores_gemma":[0.006991798,0.0006619592,0.001109811,0.007116875,0.0004201863,0.001128279,0.002273256,0.002053569,0.0407647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134252,"about_ca_system_score_gemma":0.002314394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054471,"about_ca_topic_score_gemma":0.03458783,"domain_scores_codex":[0.9983652,0.000295359,0.0002156701,0.0005796423,0.0002698999,0.0002741777],"domain_scores_gemma":[0.9968309,0.001072446,0.0004977052,0.000631206,0.0006949618,0.000272817],"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":[0.0002392009,0.00004709147,0.01285994,0.003123456,0.000160904,0.0001193621,0.0001468683,0.001127874,0.0009975128,0.001697968,0.9686072,0.01087266],"study_design_scores_gemma":[0.0002488724,0.0000301202,0.02346143,0.001175698,0.0000967665,0.000134229,0.0002613658,0.0007596677,0.000887234,0.002079076,0.9708154,0.00005024438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003828937,0.00008533015,0.0001177609,0.00003717921,0.00001502034,0.000008592229,0.9988997,0.00008389642,0.0003695345],"genre_scores_gemma":[0.001012143,0.00007408796,0.0006318499,0.00003216021,0.000004487185,0.00006132754,0.9977959,0.00004709264,0.0003409514],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04946042,"threshold_uncertainty_score":0.1654615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215200935269351,"score_gpt":0.2650744123077411,"score_spread":0.2329224029550476,"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."}}