{"id":"W2903860620","doi":"10.5061/dryad.4gk80/3","title":"Pyrosequencing fasta file from bacteria associated with the trophosome of Ridgeia piscesae - A Canadian Healthy Oceans Network Population Connectivity project, PC-11","year":2014,"lang":"en","type":"article","venue":"DRYAD","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pyrosequencing; Population; World Wide Web; Biology; Computer science; Medicine; Genetics; Environmental health; 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":[0.0004582065,0.001131928,0.00072357,0.002580188,0.002416881,0.001022211,0.000869085,0.0005909053,0.008509713],"category_scores_gemma":[0.001318855,0.0003629738,0.0008661721,0.00344034,0.0004197597,0.0002922406,0.000650531,0.001147951,0.003752011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267058,"about_ca_system_score_gemma":0.004698036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1914775,"about_ca_topic_score_gemma":0.3226839,"domain_scores_codex":[0.9992344,0.00001873617,0.00003302716,0.0002399632,0.0003648747,0.0001090458],"domain_scores_gemma":[0.9991844,0.0001730172,0.00006444515,0.00009165357,0.0003978092,0.00008863829],"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":[0.0020014,0.0002472668,0.03061762,0.001113383,0.0001727051,0.0003868895,0.001136793,0.001171359,0.8500635,0.0008752432,0.04226698,0.0699469],"study_design_scores_gemma":[0.0001502044,0.0004440269,0.493721,0.0002547018,0.0004977159,0.0006768488,0.00132014,0.005458097,0.3182282,0.0008145985,0.1782563,0.0001780751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1182084,0.0002487034,0.01031774,0.0001366078,0.0001039176,0.0003298888,0.8626192,0.002039323,0.005996146],"genre_scores_gemma":[0.1137827,0.0003686858,0.05195433,0.0002824811,0.00002804768,0.0006972957,0.8180816,0.00109751,0.01370737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8085225,"threshold_uncertainty_score":0.380726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009731722565891514,"score_gpt":0.2020796336748062,"score_spread":0.1923479111089147,"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."}}