{"id":"W7077076425","doi":"10.1002/ecs2.70351","title":"Different processes and constraints drive the assembly of deep‐sea hydrothermal vent and sunken wood communities","year":2025,"lang":"en","type":"article","venue":"Ecosphere","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Muséum National d'Histoire Naturelle; Total Foundation; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer; University of Victoria","keywords":"Chemosynthesis; Hydrothermal vent; Dominance (genetics); Niche; Niche differentiation; Habitat; Trophic level; Competition (biology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008889052,0.00009182871,0.0001342581,0.000004780104,0.000223185,0.00002508056,0.0001323985,0.00003075093,0.0003674361],"category_scores_gemma":[0.00001287628,0.00005487085,0.00001723072,0.00005269073,0.0009332344,0.00004383411,0.0002997444,0.00008146784,0.000006088856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001523498,"about_ca_system_score_gemma":0.000004307073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004054185,"about_ca_topic_score_gemma":0.003352979,"domain_scores_codex":[0.999499,0.00007266606,0.000120329,0.00009265698,0.00009267485,0.000122727],"domain_scores_gemma":[0.9996661,0.0001444899,0.00004410396,0.0001162598,0.000006018066,0.00002302597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001234774,0.0006612818,0.8145471,0.001391116,0.0005870217,0.000009072473,0.09651699,0.0004070644,0.001577802,0.002337563,0.01038652,0.07145502],"study_design_scores_gemma":[0.0009923426,0.0001980571,0.9317201,0.000276615,0.00009914554,0.0000102434,0.0429524,0.0007063487,0.01306708,0.002799252,0.00685617,0.0003222891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664383,0.001158293,0.00004368038,0.0006188551,0.0000227826,0.0001430981,0.000008358569,0.0000104107,0.03155625],"genre_scores_gemma":[0.999066,0.0002244544,0.00003193382,0.0001273731,0.000006571393,0.00001352817,0.000001391277,0.000003631721,0.0005251457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117173,"threshold_uncertainty_score":0.4023168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780004830380569,"score_gpt":0.2219401139945296,"score_spread":0.204140065690724,"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."}}