{"id":"W4413958786","doi":"10.7717/peerj.19964","title":"<i>surveyjoin</i>: a standardized database of scientific trawl surveys in the Northeast Pacific Ocean","year":2025,"lang":"en","type":"article","venue":"PeerJ","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Marine Fisheries Service; Fisheries and Oceans Canada; National Oceanic and Atmospheric Administration","keywords":"Oceanography; Database; Pacific ocean; Geography; Environmental science; Fishery; Geology; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.007142799,0.00009335366,0.0001616448,0.00008041863,0.0001484049,0.00009203069,0.0005330318,0.00003000312,0.002196284],"category_scores_gemma":[0.0002246742,0.00006589773,0.00005390964,0.001179408,0.0005096544,0.0001445491,0.0002836852,0.0001777012,0.00003539498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004510384,"about_ca_system_score_gemma":0.00005405649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852271,"about_ca_topic_score_gemma":0.003005241,"domain_scores_codex":[0.9978214,0.0007369478,0.0002335827,0.000300232,0.0006223405,0.0002855282],"domain_scores_gemma":[0.9991121,0.0001866928,0.00003630723,0.0005987562,0.00002280732,0.00004330882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003085814,0.0001327515,0.9646612,0.00002777595,0.000005489317,0.000009124141,0.0004028059,0.000005862421,0.000757357,0.00009332378,0.01141276,0.02246069],"study_design_scores_gemma":[0.0006752666,0.00003889714,0.8798766,0.00001313265,0.000006449264,0.000001953566,0.0006693713,0.0004239226,0.0004365104,0.0002430171,0.1174909,0.000124077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6935964,0.00001815028,0.0006821639,0.0009415685,0.0001398423,0.000369124,0.0002138339,0.00001558044,0.3040233],"genre_scores_gemma":[0.9934204,0.00001268632,0.00008739049,0.00003701199,0.000007152409,0.000009313318,0.00007589018,0.000005275469,0.006344882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.299824,"threshold_uncertainty_score":0.9987158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029874596899019,"score_gpt":0.2707834946450889,"score_spread":0.2504847486760987,"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."}}