{"id":"W6892213332","doi":"10.5061/dryad.4gk80/1","title":"Sanger sequencing fasta file from bacterial communities associated with the trophosome of Ridgeia piscesae - A Canadian Healthy Oceans Network Population Connectivity project, PC-11","year":2014,"lang":"en","type":"other","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; DNA sequencing; Identification (biology); Sanger sequencing; 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":[0.00144523,0.001688365,0.001184695,0.005288313,0.003172258,0.00173621,0.002016381,0.0009184495,0.05506882],"category_scores_gemma":[0.003039304,0.0008104657,0.001086781,0.007343682,0.0006144673,0.0005888781,0.0011106,0.001393325,0.02726137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002683741,"about_ca_system_score_gemma":0.01446581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4065389,"about_ca_topic_score_gemma":0.5814355,"domain_scores_codex":[0.9988765,0.0000380957,0.00006867402,0.0002676509,0.0005715737,0.0001774321],"domain_scores_gemma":[0.998436,0.0002618756,0.00008289489,0.0002206348,0.0008197584,0.0001788722],"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":[0.00160325,0.0002464394,0.009600571,0.002086308,0.0001955309,0.0003794339,0.001245805,0.001537705,0.07236598,0.002496998,0.8427151,0.0655268],"study_design_scores_gemma":[0.0004205383,0.0001209704,0.0667602,0.0003621946,0.0002894677,0.0002677586,0.0006117121,0.002466525,0.03636779,0.001322754,0.8908479,0.0001620923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003912172,0.00006964443,0.003768582,0.00008265844,0.00005136189,0.0002686307,0.9826182,0.002446982,0.006781859],"genre_scores_gemma":[0.005147951,0.0001439212,0.01565204,0.0000997657,0.00001195649,0.0005278753,0.9674283,0.001638024,0.009350138],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.593461,"threshold_uncertainty_score":0.8083452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310759834314648,"score_gpt":0.2309287642522382,"score_spread":0.2078211659090917,"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."}}