{"id":"W2963965664","doi":"10.3354/meps13075","title":"Behavioural and eco-physiological responses of the mussel Mytilus galloprovincialis to acidification and distinct feeding regimes","year":2019,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Ministerio de Economía y Competitividad","keywords":"Mytilus; Ocean acidification; Mussel; Seawater; Aragonite; Blue mussel; Oceanography; Fishery; Effects of global warming on oceans; Environmental science; Biology; Ecology; Calcite; Environmental chemistry; Chemistry; Climate change; Geology; Global warming","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002861428,0.0001251717,0.0002049168,0.00006546018,0.0001926398,0.00004871497,0.0001661884,0.00008404319,0.000250269],"category_scores_gemma":[0.0002660737,0.00007474497,0.00002947566,0.000131584,0.0004604023,0.0001435905,0.0001137141,0.00009174097,0.00001217472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004218685,"about_ca_system_score_gemma":0.00003612974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001467749,"about_ca_topic_score_gemma":0.0004817444,"domain_scores_codex":[0.9990488,0.0001958977,0.0001893708,0.0002709292,0.0001034894,0.0001915538],"domain_scores_gemma":[0.9992968,0.0002709683,0.0001273182,0.0001878906,0.00004873317,0.00006822105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004221028,0.00001774719,0.9918937,0.00003470339,0.000009386549,0.000001932304,0.0001614854,0.000004713376,0.0004005916,0.0001711121,0.000122073,0.006760441],"study_design_scores_gemma":[0.0001555964,0.0005632822,0.9969641,0.000009363519,0.0000159855,0.00003888093,0.0001780378,0.00009319897,0.0008153105,0.0001485085,0.0009130975,0.0001046487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962285,0.0001260512,2.451372e-7,0.002670143,0.0002239778,0.0004494043,0.00003275311,0.00002968183,0.0002393094],"genre_scores_gemma":[0.9980866,0.00003335193,0.0003238994,0.00009369574,0.00003225013,0.000006857115,0.00002349267,0.000003544311,0.001396266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006655792,"threshold_uncertainty_score":0.3048011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381401066022378,"score_gpt":0.2255215509927635,"score_spread":0.2117075403325397,"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."}}