{"id":"W6929233058","doi":"10.5061/dryad.453f3/2","title":"Pyrosequencing fasta file from free-living bacteria associated with Ridgeia piscesae - A Canadian Healthy Oceans Network Population Connectivity project, PC-11","year":2014,"lang":"en","type":"other","venue":"DRYAD","topic":"Dermatological diseases and infestations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pyrosequencing; Population; Bacteria; Metagenomics","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":[0.0006906175,0.0008494965,0.0005097589,0.003535149,0.002195904,0.0009669127,0.0008102592,0.0004347683,0.01015683],"category_scores_gemma":[0.001429231,0.0003088942,0.0006123459,0.004698637,0.0003188782,0.0002109426,0.000542118,0.0007067075,0.003697066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002473264,"about_ca_system_score_gemma":0.009788159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5976102,"about_ca_topic_score_gemma":0.7491866,"domain_scores_codex":[0.9990466,0.00002390688,0.00003996248,0.0001820535,0.0005674825,0.0001398659],"domain_scores_gemma":[0.9990349,0.0001116074,0.0000638925,0.00007463659,0.0006309579,0.00008407085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002262505,0.0005536235,0.1378452,0.00180967,0.0002443476,0.0008137357,0.002992375,0.002652904,0.3548484,0.002958043,0.2650756,0.2279435],"study_design_scores_gemma":[0.00008602721,0.0001966902,0.6111966,0.0002533501,0.0002262324,0.0004400321,0.001601191,0.003335617,0.06769437,0.0006335314,0.3142323,0.0001040596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08761044,0.0002484544,0.007276451,0.000179406,0.000114773,0.0007155621,0.8867953,0.001539218,0.01552041],"genre_scores_gemma":[0.09688585,0.0005378162,0.03982846,0.0003548005,0.00002970923,0.0009208373,0.823366,0.0006967692,0.03737963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4023898,"threshold_uncertainty_score":0.8095192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650115911421741,"score_gpt":0.2512883660392001,"score_spread":0.2347872069249827,"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."}}