{"id":"W6888548473","doi":"10.21233/n3sp7q","title":"Edward Lake pollen dataset","year":2017,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"","keywords":"Pollen; Vegetation (pathology); Paleoecology; Taxon","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","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002018978,0.002177425,0.002564887,0.0006987868,0.001402737,0.0008579714,0.008560527,0.002154123,0.05796479],"category_scores_gemma":[0.006408257,0.001815134,0.0005851588,0.0003972008,0.001617363,0.0009944306,0.005737532,0.003651462,0.2604429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003060314,"about_ca_system_score_gemma":0.0006938559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003608048,"about_ca_topic_score_gemma":0.04128424,"domain_scores_codex":[0.9891032,0.001085072,0.00159684,0.003565141,0.00203567,0.002614108],"domain_scores_gemma":[0.9826053,0.001103103,0.001940095,0.01258467,0.0002348868,0.001531941],"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":[0.0006500292,0.001294327,0.0003298938,0.000305575,0.0002735393,0.009990248,0.000002323301,0.000001324903,0.00003310603,0.00001262753,0.9866907,0.0004163074],"study_design_scores_gemma":[0.002137701,0.0005297887,0.005695471,0.0002087286,0.0007429614,0.0003220185,0.000009412188,0.00001015072,0.00001076972,0.00004715916,0.9880834,0.002202505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002253092,0.00035262,0.000003470045,0.0002238627,0.002058644,0.002462955,0.9932089,0.0005993127,0.0008648827],"genre_scores_gemma":[0.00004012356,0.0005961725,0.0006080713,0.00176066,0.001947477,0.0008740361,0.993557,0.000205129,0.000411266],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2024781,"threshold_uncertainty_score":0.9998973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04735042579327303,"score_gpt":0.3511017711469031,"score_spread":0.3037513453536301,"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."}}