{"id":"W6907269138","doi":"10.21233/nx8e-mc81","title":"Site 11, 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":[0.0008207087,0.00130232,0.001060707,0.004633917,0.001791526,0.00203154,0.002810714,0.00107934,0.03998112],"category_scores_gemma":[0.005342597,0.0006116711,0.0007643077,0.01298719,0.0005026837,0.0008280838,0.001634575,0.001581318,0.04113383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006573211,"about_ca_system_score_gemma":0.01756216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8068377,"about_ca_topic_score_gemma":0.9145148,"domain_scores_codex":[0.9990273,0.00006144247,0.00008329204,0.0002404923,0.0003908422,0.0001967525],"domain_scores_gemma":[0.9964026,0.0002693578,0.0001816863,0.0004967197,0.002235368,0.0004141952],"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":[0.00002171389,0.000007397669,0.001324548,0.0001691722,0.00001705159,0.00001199341,0.00002176149,0.0001187743,0.00006189045,0.0002539467,0.9968283,0.001163522],"study_design_scores_gemma":[0.0001361268,0.000006664343,0.02703642,0.000260084,0.00003203421,0.00003359706,0.0002094073,0.0003570631,0.0002464629,0.0005971561,0.9710432,0.00004185439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001152687,0.00002027475,0.0000175197,0.00002238992,0.000007484895,0.000006198158,0.9993243,0.00006545913,0.0004210764],"genre_scores_gemma":[0.0002975599,0.00002410211,0.0001203766,0.00001685435,0.000002108613,0.00002595236,0.9990488,0.00002842646,0.000435888],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1931623,"threshold_uncertainty_score":0.3885998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03522344810136093,"score_gpt":0.2844228873843981,"score_spread":0.2491994392830372,"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."}}