{"id":"W6950784873","doi":"10.5683/sp3/0yfjed","title":"Pelagic Species Trait Database","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Predation; Pelagic zone; Trait; Habitat; Selection (genetic algorithm); Resource (disambiguation); Apex predator; Vulnerability (computing)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005797813,0.0006573626,0.0006980391,0.0006540688,0.0001362256,0.0001849215,0.001570057,0.0003963208,0.00102618],"category_scores_gemma":[0.0006952591,0.0006381986,0.0002563134,0.0007573249,0.0002400714,0.0001938817,0.00054857,0.0007442934,0.04802471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151403,"about_ca_system_score_gemma":0.0002391184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2359235,"about_ca_topic_score_gemma":0.2953776,"domain_scores_codex":[0.9965677,0.0001652355,0.0005251213,0.000890431,0.00109354,0.0007579309],"domain_scores_gemma":[0.9961537,0.0002079413,0.000326857,0.002915861,0.0001071171,0.0002885514],"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":[0.00003104243,0.00008540465,9.581821e-7,0.0001860777,0.0001261512,0.0008196652,0.00001935995,0.000001431065,0.00002758107,0.0001035179,0.998561,0.00003783341],"study_design_scores_gemma":[0.0003473789,0.0000332104,0.001058157,0.0001578745,0.0003145729,0.00003004552,0.00006471588,0.000002751021,0.00001291744,0.00008018332,0.9972075,0.0006906558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001244893,0.0001227594,9.689712e-7,0.0001275963,0.0004051088,0.0004029463,0.9954971,0.0006423061,0.002799938],"genre_scores_gemma":[7.933518e-8,0.0003692839,0.0000559724,0.0001693769,0.001387776,0.00009033813,0.9952273,0.0002908714,0.002408976],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05945412,"threshold_uncertainty_score":0.999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05435804729003639,"score_gpt":0.2960495710069486,"score_spread":0.2416915237169122,"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."}}