{"id":"W4403268053","doi":"10.3397/in_2024_2156","title":"Laboratory measurement of the effect of exposure to ship noise on mussels","year":2024,"lang":"en","type":"article","venue":"NOISE-CON proceedings","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Xunta de Galicia","keywords":"Noise (video); Environmental science; Fishery; Marine engineering; Acoustics; Engineering; Biology; Computer science; Physics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002364357,0.0005082815,0.0002564078,0.0001632622,0.0002850265,0.0003367856,0.0002063942,0.000387068,0.001250571],"category_scores_gemma":[0.0006701716,0.0001995019,0.0003551184,0.0001021505,0.0004092714,0.0001488667,0.0003985218,0.0004128178,0.000320716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002725472,"about_ca_system_score_gemma":0.0002490161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147241,"about_ca_topic_score_gemma":0.001393531,"domain_scores_codex":[0.9996729,0.00006793455,0.00002544367,0.000102014,0.00008221765,0.00004949003],"domain_scores_gemma":[0.9994453,0.0001599018,0.0001384717,0.00007864914,0.0000825109,0.00009511939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005981115,0.0001947826,0.009589605,0.00005242366,0.00002902762,0.00005899398,0.0001383509,0.0001929213,0.9869897,0.00001086589,0.0000271344,0.002118176],"study_design_scores_gemma":[0.00005965523,0.01403827,0.2718631,0.00002201036,0.0001744465,0.0002528975,0.0003088633,0.001295552,0.7110022,0.00007209498,0.0008748198,0.00003603128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998051,0.0001213773,0.001240893,0.00001191193,0.00001156825,0.00002806291,0.00007479498,0.00001771802,0.0004426698],"genre_scores_gemma":[0.9954449,0.0002565187,0.002322851,0.00005805104,0.00001796339,0.0001396085,0.0002862494,0.00001223929,0.00146169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001250571,"threshold_uncertainty_score":0.004183531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444024011950742,"score_gpt":0.2284627599498385,"score_spread":0.214022519830331,"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."}}