{"id":"W4412630680","doi":"10.1038/s41597-025-05638-w","title":"Mesopelagic Mesozooplankton and Micronekton Database","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Broadcom (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mesopelagic zone; Oceanography; Database; Environmental science; Geology; Pelagic zone; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005976013,0.0006054764,0.0007222074,0.004533811,0.0003740136,0.0007928439,0.0009931982,0.0003406095,0.009493871],"category_scores_gemma":[0.002151603,0.0003068937,0.0004494182,0.005172509,0.0001385229,0.0006200156,0.001421467,0.0005185117,0.004296898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007242009,"about_ca_system_score_gemma":0.00220795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03721766,"about_ca_topic_score_gemma":0.04876298,"domain_scores_codex":[0.9995168,0.00003969896,0.0001488067,0.0001269791,0.000101304,0.00006636143],"domain_scores_gemma":[0.998781,0.0001000989,0.0003387821,0.0001491177,0.0004744579,0.0001566064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009253919,0.0002128653,0.4368055,0.009665974,0.0007943344,0.0008144917,0.001622817,0.00214838,0.005511284,0.006316914,0.4470022,0.08817975],"study_design_scores_gemma":[0.00009316177,0.00004620563,0.5081225,0.0008643219,0.0002107437,0.0002106697,0.0008127876,0.0008355553,0.001105831,0.0007704568,0.4868739,0.00005388217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0222139,0.0006988834,0.0004226544,0.00007741193,0.00002547247,0.00008192752,0.9721048,0.0001377484,0.004237199],"genre_scores_gemma":[0.02812854,0.0006125154,0.001855679,0.00005154231,0.00002338755,0.0004168854,0.9671931,0.00003316723,0.001685098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03721766,"threshold_uncertainty_score":0.07400209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247465710072237,"score_gpt":0.250270855309319,"score_spread":0.2255242843020953,"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."}}