{"id":"W6906567751","doi":"10.1594/pangaea.968499","title":"Pollen raw counts of sediment core LLCore2 from Lost Lake, British Columbia in 2020","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollen; Sediment core; Holocene; Sediment; Chronology; Sedimentary rock; Radiocarbon dating; Quaternary","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":[0.0004455481,0.001123316,0.0007067806,0.004909471,0.001668297,0.001672069,0.001402098,0.0005488228,0.009944904],"category_scores_gemma":[0.001578678,0.0004818529,0.0003416626,0.01018769,0.0003076436,0.000415684,0.0009565076,0.0006044504,0.005782938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009543714,"about_ca_system_score_gemma":0.01206082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9644378,"about_ca_topic_score_gemma":0.985688,"domain_scores_codex":[0.9994488,0.00001482624,0.00004223231,0.0001226565,0.0002296522,0.0001417492],"domain_scores_gemma":[0.9974622,0.0000644703,0.0002086588,0.0001902892,0.001777665,0.0002967416],"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":[0.0004423162,0.0001010054,0.158691,0.0009809873,0.0002336177,0.0003748233,0.0006360615,0.001135448,0.0018853,0.0006673113,0.8059973,0.02885481],"study_design_scores_gemma":[0.00007884076,0.00001539149,0.5895246,0.0002585342,0.00006041346,0.00008687367,0.0005622648,0.0006785103,0.0008694487,0.0001308522,0.4076807,0.00005363106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01624808,0.0001743392,0.00007204668,0.00004462555,0.00001438057,0.00003146325,0.9801686,0.0001203583,0.003126109],"genre_scores_gemma":[0.02107052,0.0001511966,0.0003287046,0.00004058047,0.000006513794,0.0001094171,0.9720204,0.00005275119,0.006219787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03556216,"threshold_uncertainty_score":0.0715431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910912006803353,"score_gpt":0.2929954301695946,"score_spread":0.2538863101015611,"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."}}