{"id":"W6907444215","doi":"10.21233/n3qn03","title":"Site 7 (Mott unpublished) pollen surface sample dataset","year":2017,"lang":"en","type":"dataset","venue":"Neotoma Paleoecological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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009537139,0.001015279,0.0009880371,0.002838518,0.0005467505,0.001703971,0.001728785,0.00102575,0.05314314],"category_scores_gemma":[0.004477287,0.0005474673,0.0007119132,0.005633139,0.0002837535,0.0008585046,0.001366028,0.001358084,0.07421243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038936,"about_ca_system_score_gemma":0.002531782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02781627,"about_ca_topic_score_gemma":0.05791787,"domain_scores_codex":[0.9992761,0.00008787332,0.00007961293,0.0001738381,0.0002797916,0.0001028024],"domain_scores_gemma":[0.997337,0.0004357044,0.0003135787,0.0005354153,0.001136223,0.0002418794],"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":[0.00005063665,0.00001516681,0.001593749,0.0002864057,0.00002747677,0.00001597766,0.00002847497,0.0001783866,0.00016801,0.0003751003,0.9953113,0.001949455],"study_design_scores_gemma":[0.0002295239,0.00001434943,0.01304876,0.0001472695,0.00002859075,0.0000331166,0.0001015346,0.000375987,0.0004246573,0.0007001762,0.9848719,0.00002418741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001992761,0.0000136475,0.00005801101,0.00001578927,0.000007974875,0.000007337725,0.9990463,0.0001089041,0.0005427649],"genre_scores_gemma":[0.0004998649,0.00001346352,0.0002366093,0.00001405769,0.000004022261,0.00005002953,0.9984161,0.00007462508,0.0006911661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05314314,"threshold_uncertainty_score":0.1777815,"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."}}