{"id":"W6944816815","doi":"10.21233/yjpa-cw32","title":"Site 24, Georgian Bay, Canadian Hydrographic Service pollen surface sample dataset","year":2019,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological Database","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paleoecology; Hydrography; Pollen; Sample (material); Georgian; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008150821,0.001332195,0.001080824,0.004752367,0.001753615,0.002024957,0.002870875,0.001086889,0.03930124],"category_scores_gemma":[0.005454546,0.000611985,0.0007696603,0.01332586,0.0005005111,0.0008274213,0.001606699,0.001560904,0.04225115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006641009,"about_ca_system_score_gemma":0.0178088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8104847,"about_ca_topic_score_gemma":0.9148798,"domain_scores_codex":[0.9990315,0.00006154794,0.00008220394,0.0002398376,0.0003914877,0.0001934496],"domain_scores_gemma":[0.9963819,0.0002660319,0.0001848152,0.0004962346,0.002250915,0.0004200797],"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":[0.0000214536,0.000007059192,0.00125716,0.0001644996,0.00001706357,0.00001155133,0.0000208687,0.000114979,0.00006121099,0.0002391347,0.9969448,0.00114012],"study_design_scores_gemma":[0.0001384694,0.000006611494,0.02681801,0.0002603201,0.00003240723,0.0000322246,0.0002027951,0.0003492825,0.0002464024,0.0005833349,0.9712881,0.00004196552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000115461,0.00002178878,0.00001686366,0.00002228338,0.000007514277,0.00000605052,0.9993216,0.00006668326,0.0004216746],"genre_scores_gemma":[0.0003011104,0.00002584393,0.000119453,0.00001666933,0.000002207518,0.0000264617,0.9990391,0.0000297438,0.0004394228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1895153,"threshold_uncertainty_score":0.3812627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04014400315304083,"score_gpt":0.2839229327623963,"score_spread":0.2437789296093555,"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."}}