{"id":"W6926068258","doi":"10.21233/n3z47r","title":"Site 13 (Mott unpublished) pollen surface sample dataset","year":2017,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009735489,0.0009905584,0.0009876041,0.002761042,0.000557441,0.001676001,0.001700936,0.0009568768,0.05306874],"category_scores_gemma":[0.004469852,0.0005562898,0.0006743624,0.005869291,0.0002851719,0.0008329723,0.001368015,0.001325903,0.07219741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122912,"about_ca_system_score_gemma":0.002736707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03294964,"about_ca_topic_score_gemma":0.06514713,"domain_scores_codex":[0.999284,0.0000817402,0.00008029976,0.0001738192,0.0002789191,0.0001013875],"domain_scores_gemma":[0.9972953,0.0004145351,0.0003224559,0.0005288688,0.001187009,0.0002519327],"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":[0.00005281245,0.00001527608,0.001727729,0.0002775741,0.00002673693,0.00001598706,0.00002859511,0.0001733286,0.0001630476,0.0003622223,0.9951556,0.002001143],"study_design_scores_gemma":[0.0002361244,0.0000145313,0.01450505,0.0001474684,0.00002921652,0.00003284112,0.0001053684,0.0003746936,0.0004434224,0.000689081,0.9833973,0.0000248976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001994728,0.00001245981,0.00005947754,0.00001504968,0.000007779608,0.000007555976,0.9990612,0.0001031465,0.0005340303],"genre_scores_gemma":[0.0005280513,0.00001302633,0.0002455868,0.00001394043,0.000003886227,0.00005371053,0.9983069,0.00007730142,0.0007576154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05306874,"threshold_uncertainty_score":0.1775326,"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."}}