{"id":"W2948216840","doi":"10.1139/cjes-2018-0338","title":"Interpreting basal sediments and plant fossils in kettle lakes: insights from Silver Lake, Michigan, USA","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Minnesota; National Science Foundation","keywords":"Macrofossil; Geology; Holocene; Deglaciation; Radiocarbon dating; Kettle (birds); Physical geography; Paleontology; Pleistocene; Pollen; Chronology; Paleoecology; Archaeology; Ecology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000168372,0.0001669878,0.0001105843,0.001997767,0.001165704,0.0006657813,0.0002939737,0.0001863508,0.001052566],"category_scores_gemma":[0.0005116467,0.0001272424,0.00008419918,0.001881395,0.0003055336,0.0005054438,0.0008213765,0.0001688977,0.0001291467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006562815,"about_ca_system_score_gemma":0.0005801614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09666311,"about_ca_topic_score_gemma":0.5564185,"domain_scores_codex":[0.9999315,0.000009464482,0.000008541905,0.00001636408,0.00001803141,0.0000161472],"domain_scores_gemma":[0.9997424,0.00003019952,0.00008680893,0.00001437193,0.00007764415,0.0000486544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004532671,0.00001128846,0.9715215,0.00005357667,0.00002714334,0.0004841433,0.004478151,0.00007676466,0.006780844,0.00006595381,0.0005645156,0.01589082],"study_design_scores_gemma":[0.000001040517,0.000007499188,0.9959709,0.00001515599,0.00001221716,0.0000805126,0.001840195,0.0001363382,0.0004583423,0.00002551712,0.001449799,0.000002464917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981965,0.0001808607,0.00008439537,0.00008139337,0.000002088019,0.000004722857,0.0002999487,0.0000118212,0.001138213],"genre_scores_gemma":[0.9976042,0.0002639756,0.0007203442,0.00006967189,0.000009518853,0.0000117379,0.0006070374,0.00001313251,0.0007003235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09666311,"threshold_uncertainty_score":0.192201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655709089811044,"score_gpt":0.2216437799405561,"score_spread":0.2050866890424456,"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."}}