{"id":"W2523008364","doi":"10.1038/srep33829","title":"Validation of trophic and anthropic underwater noise as settlement trigger in blue mussels","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Muséum National d'Histoire Naturelle; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; Université du Québec à Rimouski","keywords":"Picoplankton; Pelagic zone; Blue mussel; Mussel; Trophic level; Mytilus; Biology; Underwater; Fishery; Benthic zone; Ecology; Plankton; Bivalvia; Marine invertebrates; Oceanography; Mollusca; Phytoplankton; Geology; Nutrient","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":[],"category_scores_codex":[0.001365816,0.00006464234,0.0001243332,0.0001730304,0.0001040974,0.00002750624,0.00006623957,0.00006470791,0.004465498],"category_scores_gemma":[0.00009932705,0.00003756952,0.000021414,0.0001695446,0.000431115,0.0001335966,0.00002285501,0.00004845648,0.0001007854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004790119,"about_ca_system_score_gemma":0.00007784289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002159521,"about_ca_topic_score_gemma":0.0006196192,"domain_scores_codex":[0.9988533,0.00009507666,0.0002905394,0.0003616118,0.000169475,0.0002300385],"domain_scores_gemma":[0.9994937,0.00007836916,0.0000953473,0.0002289368,0.0000403913,0.00006325191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001848533,0.00001659767,0.9909072,0.00001060237,0.000005686886,0.00008250958,0.00009750939,0.00002208075,0.003716337,0.000007522318,0.0004624098,0.004653069],"study_design_scores_gemma":[0.0002506952,0.0001172247,0.9653328,0.00001785166,0.000005033222,0.00009217212,0.00005172445,0.00005661965,0.02278566,0.006867261,0.004337498,0.0000854499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997445,0.0000620614,0.000008268838,0.0007268264,0.001007612,0.0001588572,0.000004849967,0.000007133785,0.0005793387],"genre_scores_gemma":[0.9965424,0.00002538471,0.0000291019,0.00001428044,0.00001767742,0.000001900504,0.00005479822,0.000001151785,0.003313283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02557438,"threshold_uncertainty_score":0.9964446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176749915869443,"score_gpt":0.2551524708408544,"score_spread":0.2374774792539101,"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."}}