{"id":"W6926068258","doi":"10.21233/n3z47r","title":"Site 13 (Mott unpublished) pollen surface sample dataset","year":2017,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Pollen; Sample (material); Surface (topology); Raw data","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.003427888,0.002900964,0.003341049,0.0007187828,0.00191652,0.002395671,0.009971499,0.002682645,0.05998688],"category_scores_gemma":[0.01803946,0.002474452,0.0007053041,0.000834204,0.001861243,0.002667946,0.008193883,0.004640752,0.1513339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006861844,"about_ca_system_score_gemma":0.001004151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007620921,"about_ca_topic_score_gemma":0.04075733,"domain_scores_codex":[0.9847344,0.001797372,0.00217381,0.004942865,0.002764399,0.003587174],"domain_scores_gemma":[0.9751135,0.00402794,0.002694388,0.01552485,0.0004599565,0.002179364],"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":[0.000787045,0.001638972,0.002368012,0.0004005956,0.0003279376,0.004846319,0.000006742297,0.00002324084,0.0001337484,0.00001194155,0.9893059,0.000149545],"study_design_scores_gemma":[0.002910385,0.0005536006,0.00873885,0.0002186147,0.0008229564,0.0002072184,0.00002015389,0.00008384667,0.00002603588,0.00007704438,0.9834259,0.002915426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004024554,0.0004862513,0.00001544276,0.0003537895,0.002089719,0.003200679,0.988605,0.0008343369,0.0003901954],"genre_scores_gemma":[0.0001567789,0.000578264,0.002428309,0.001900626,0.001379309,0.0003849897,0.9925022,0.0003058638,0.0003636295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09134704,"threshold_uncertainty_score":0.9998277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04517204369349025,"score_gpt":0.335582708193329,"score_spread":0.2904106644998388,"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."}}