{"id":"W6926272728","doi":"10.21233/218z-yn28","title":"Site 31, Georgian Bay, Canadian Hydrographic Service pollen surface sample dataset","year":2019,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrography; Pollen; Georgian; Sample (material); Service (business)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006699139,0.00104798,0.0014852,0.0005016604,0.0003632826,0.0001562279,0.001283533,0.001390324,0.006574077],"category_scores_gemma":[0.002714445,0.0008950843,0.0002851294,0.001014641,0.0002437882,0.0002340135,0.0009676641,0.002134486,0.008717948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003164225,"about_ca_system_score_gemma":0.001352576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2889909,"about_ca_topic_score_gemma":0.6719825,"domain_scores_codex":[0.9944456,0.000279805,0.0008594875,0.001750156,0.000893354,0.001771597],"domain_scores_gemma":[0.9911819,0.00211459,0.0003448142,0.003615768,0.0002078898,0.002535046],"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":[0.0003490804,0.0003996772,0.01418751,0.0005787141,0.0001818587,0.003751142,0.000005465837,0.00002836902,0.00001610705,0.000005792779,0.9803694,0.0001268803],"study_design_scores_gemma":[0.001996011,0.0007414583,0.02877162,0.0004079891,0.0007657689,0.0002787567,0.00002199694,0.0002299309,0.000008441916,0.00001019687,0.9657739,0.0009938654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01810935,0.0005339261,0.000007044582,0.00161504,0.0006241372,0.001979082,0.9766499,0.0001598249,0.0003216975],"genre_scores_gemma":[0.001679096,0.0007693337,0.001440452,0.01425658,0.0004464446,0.00007997316,0.9811591,0.00006190355,0.0001071357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3829916,"threshold_uncertainty_score":0.9999061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03314748601294594,"score_gpt":0.2896120739771524,"score_spread":0.2564645879642065,"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."}}