{"id":"W2996472869","doi":"10.1128/mbio.02243-19","title":"Host-Microbe Interactions in the Chemosynthetic <i>Riftia pachyptila</i> Symbiosis","year":2019,"lang":"en","type":"article","venue":"mBio","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Deutsche Forschungsgemeinschaft; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Government of Alberta; Woods Hole Oceanographic Institution; Deutscher Akademischer Austauschdienst; National Science Foundation","keywords":"Symbiosis; Chemosynthesis; Biology; Host (biology); Mutualism (biology); Metaproteomics; Population; Ecology; Evolutionary biology; Bacteria; Hydrothermal vent; Metagenomics; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004095068,0.00007461529,0.0001004619,0.00005528199,0.00008976152,0.00002851269,0.0002957355,0.00005703687,0.01304824],"category_scores_gemma":[0.00003678444,0.00004747663,0.00003991965,0.0001612796,0.0000768598,0.0000795277,0.00002021005,0.0002831215,0.004887041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003277329,"about_ca_system_score_gemma":0.00002312625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438834,"about_ca_topic_score_gemma":0.01018163,"domain_scores_codex":[0.9992436,0.0001270516,0.0001099056,0.0001790516,0.00006740372,0.0002729745],"domain_scores_gemma":[0.9994323,0.0002888676,0.00002405117,0.0002109612,0.00001153277,0.00003228736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002166142,0.00002113348,0.9955951,0.000005145661,0.000006569486,0.000005585925,0.0001521327,0.000003468594,0.0002703691,0.00002870397,0.001891075,0.001999062],"study_design_scores_gemma":[0.0001344127,0.00006921995,0.9659415,0.0000049984,0.000003818845,0.0000358604,0.0002471672,0.0003135359,0.0003156374,0.00009619768,0.03276403,0.00007365648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521049,0.00007782296,5.134082e-7,0.002456049,0.0003210429,0.0001703618,0.00001265128,0.00001236442,0.04484428],"genre_scores_gemma":[0.9963138,0.00002417601,0.00001901868,0.001154594,0.00003765927,0.000002602415,0.00005496127,0.000001466246,0.00239174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04420887,"threshold_uncertainty_score":0.9958878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392569324513828,"score_gpt":0.2350629341454747,"score_spread":0.2211372409003364,"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."}}