{"id":"W6931144622","doi":"10.5281/zenodo.16538814","title":"REED Suffolk dataset","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Taxonomy (biology); Historical record; Information system","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005095653,0.0001891612,0.0001663616,0.0001153856,0.001570406,0.000282749,0.001700674,0.0002214215,0.08730213],"category_scores_gemma":[0.0005017314,0.000194793,0.00004249507,0.0004322976,0.0002827846,0.0001698069,0.002861187,0.0004246418,0.02108893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000191103,"about_ca_system_score_gemma":0.000003315038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001854228,"about_ca_topic_score_gemma":0.000006741775,"domain_scores_codex":[0.9982411,0.0003578273,0.0002419381,0.0005601766,0.000284979,0.0003139437],"domain_scores_gemma":[0.9987841,0.00002932794,0.0001333883,0.0008953821,0.00004908647,0.000108696],"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":[0.00003712439,0.00006979307,0.000002121161,0.00003148389,0.00002308972,0.00001154927,0.00001810243,0.000005721178,0.0001038035,0.00006424595,0.991288,0.008344984],"study_design_scores_gemma":[0.0002029281,0.00008490768,0.0003323834,0.00002157228,0.0000302599,0.00002735029,0.00001634826,0.00001192392,0.00002131868,0.0000729727,0.9989833,0.000194689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007436317,0.00002851125,0.00006332771,0.0005681239,0.0001684448,0.0002962452,0.9787855,0.0001975832,0.01981795],"genre_scores_gemma":[0.0001020954,0.0001266556,0.00004119399,0.0007310037,0.00008499145,5.004617e-8,0.9969093,0.0001965308,0.001808143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0662132,"threshold_uncertainty_score":0.9997294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318443694039861,"score_gpt":0.2426415239407448,"score_spread":0.2194570870003462,"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."}}