{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018099,0.0002032711,0.0002734859,0.00003880963,0.0000658828,0.00002540303,0.0004037184,0.00006028067,0.0004582743],"category_scores_gemma":[0.0003139693,0.0001293005,0.0001180485,0.0006848402,0.0001070992,0.0001201092,0.0003881619,0.0001629543,0.0002157273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002205103,"about_ca_system_score_gemma":0.00001516331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001823655,"about_ca_topic_score_gemma":0.00005580697,"domain_scores_codex":[0.9982743,0.00002575324,0.0002930114,0.0003701805,0.0007987163,0.0002380383],"domain_scores_gemma":[0.9995385,0.00005747964,0.00009382978,0.0001744547,0.00005312034,0.0000826488],"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":[0.0002234135,0.00009306453,0.462604,0.001704461,0.00008613995,0.00000247891,0.001785357,0.00005246697,0.4834307,0.0007589469,0.03561952,0.01363944],"study_design_scores_gemma":[0.0003541487,0.001803213,0.5117206,0.0006409872,0.00009775357,0.000001356727,0.00008546228,0.0000219309,0.4380333,0.0000650325,0.04692863,0.000247668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695528,0.000300653,0.000001069687,0.0004714114,0.0001783421,0.00063613,0.000009118155,0.00004689324,0.02880354],"genre_scores_gemma":[0.9992862,0.00001725938,0.00003805459,0.0003113429,0.00004839044,0.00007385452,1.614192e-7,0.0000232103,0.000201482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04911654,"threshold_uncertainty_score":0.5272722,"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."}}