{"id":"W6907444215","doi":"10.21233/n3qn03","title":"Site 7 (Mott unpublished) pollen surface sample dataset","year":2017,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological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","research_integrity","insufficient_payload"],"category_scores_codex":[0.003309916,0.0027597,0.0031899,0.0006810166,0.001858802,0.002270153,0.009615053,0.002567462,0.04657585],"category_scores_gemma":[0.01754207,0.002350182,0.0006714321,0.0007807267,0.001782176,0.002503791,0.007822813,0.004447097,0.1487957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006722146,"about_ca_system_score_gemma":0.0009740852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005300616,"about_ca_topic_score_gemma":0.024865,"domain_scores_codex":[0.985445,0.001694412,0.002062726,0.004726199,0.002647468,0.003424193],"domain_scores_gemma":[0.9759213,0.003845461,0.002584387,0.01515007,0.0004325288,0.002066268],"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":[0.0007473205,0.001564111,0.00175391,0.0003812072,0.0003063875,0.004695396,0.000005814979,0.00001641711,0.0001347636,0.0000154496,0.9902342,0.0001450458],"study_design_scores_gemma":[0.002707428,0.0005275838,0.006244079,0.0002076465,0.000784477,0.0001982241,0.00001744993,0.00006628798,0.00002454997,0.00007531382,0.9863684,0.002778525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002600062,0.0004644838,0.00001496075,0.0003391454,0.002017987,0.003009901,0.9904022,0.00079491,0.0003563649],"genre_scores_gemma":[0.0001077832,0.000538618,0.002868598,0.001815313,0.001330698,0.0003501748,0.9923687,0.0002855715,0.0003345699],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1022199,"threshold_uncertainty_score":0.9994407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0463923393343938,"score_gpt":0.3404525676084768,"score_spread":0.294060228274083,"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."}}