{"id":"W6929875963","doi":"10.5061/dryad.453f3/1","title":"Sanger sequencing fasta file from free-living bacterial communities associated with Ridgeia piscesae - A Canadian Healthy Oceans Network Population Connectivity project, PC-11","year":2014,"lang":"en","type":"other","venue":"DRYAD","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; DNA sequencing; Identification (biology); Metagenomics; Genomics","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":[0.001070371,0.001141345,0.0007865668,0.004542281,0.003167939,0.001315396,0.00140333,0.0006978838,0.02887496],"category_scores_gemma":[0.002272484,0.0004365152,0.0007619177,0.006117592,0.0004972756,0.0003637204,0.0007962328,0.0008621912,0.0104925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00268959,"about_ca_system_score_gemma":0.01445202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.503368,"about_ca_topic_score_gemma":0.6506464,"domain_scores_codex":[0.9991475,0.00002579217,0.00004838583,0.0001863011,0.0004558463,0.0001361627],"domain_scores_gemma":[0.9987802,0.0001768796,0.00006431351,0.0001207562,0.0007262015,0.0001316673],"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":[0.001979137,0.000382127,0.03174337,0.002431665,0.0002007191,0.00081181,0.002912346,0.002449124,0.2121436,0.003338056,0.5816845,0.1599236],"study_design_scores_gemma":[0.0002731271,0.0001870921,0.1970457,0.000355547,0.0003319171,0.0004939409,0.001636672,0.003672751,0.05598757,0.001219674,0.7386429,0.0001532387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.02618557,0.0001621507,0.00810047,0.0002256835,0.0001184714,0.0006012609,0.9479527,0.0028275,0.01382614],"genre_scores_gemma":[0.02250192,0.0003513064,0.03857697,0.000214677,0.00002582006,0.0008007119,0.9139484,0.001279105,0.02230107],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.496632,"threshold_uncertainty_score":0.9991136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522433889613636,"score_gpt":0.2721786590109697,"score_spread":0.2469543201148334,"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."}}