{"id":"W7104620218","doi":"10.14286/rut7mw","title":"TOPPWS","year":2006,"lang":"en","type":"dataset","venue":"Ocean Tracking Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Juvenile; Ecosystem; White (mutation); Satellite tracking; Megafauna; Crawling; Baseline (sea)","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007144604,0.0008332787,0.0008415192,0.0002074498,0.0003192209,0.0003537827,0.001297688,0.0007923441,0.0008970347],"category_scores_gemma":[0.00008609101,0.0008797977,0.0003453919,0.0008611684,0.0001422899,0.0001544821,0.0002065303,0.001405153,0.01091277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002534961,"about_ca_system_score_gemma":0.0001205015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005910834,"about_ca_topic_score_gemma":0.001142261,"domain_scores_codex":[0.9959472,0.0002221486,0.0007232582,0.0009598142,0.0007934562,0.001354135],"domain_scores_gemma":[0.9971135,0.0002346957,0.0006661473,0.001696466,0.00009674679,0.0001924923],"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":[0.00002528757,0.000098196,0.000181092,0.00008801147,0.00009353919,0.0002507826,0.000003338197,0.004265154,2.693607e-7,0.00001562224,0.9945744,0.0004043419],"study_design_scores_gemma":[0.0002857755,0.00003675732,0.0004187951,0.00045603,0.0002767849,0.00003749356,0.000001502676,0.00002565866,0.000002055571,0.0002716093,0.9972714,0.000916205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003240225,0.001485439,0.000008592197,0.00003030649,0.002360688,0.0003611735,0.99362,0.0005022812,0.001599049],"genre_scores_gemma":[0.0000484623,0.00005622035,0.0002254872,0.0005872169,0.01249022,0.000005931784,0.9854303,0.0003093076,0.0008468687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01012953,"threshold_uncertainty_score":0.9993653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758358439222932,"score_gpt":0.2573903036134161,"score_spread":0.2398067192211868,"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."}}