{"id":"W6964754377","doi":"10.25921/3qd4-bt77","title":"NOAA/WDS Paleoclimatology - Sauchyn - Kuskula Creek - PCMA - ITRDB CANA341","year":2012,"lang":"en","type":"dataset","venue":"National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Varve; Paleoclimatology; Glacier; Climate change; Glacial period; Proxy (statistics); Meltwater; Drainage basin; Before Present","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":[0.0003301524,0.0003059072,0.0002709985,0.001126871,0.001162616,0.002692105,0.0003824579,0.0003505083,0.08275962],"category_scores_gemma":[0.0004399996,0.0002469725,0.0001826715,0.001340162,0.0002709331,0.0004064607,0.0009093073,0.0004214507,0.02082211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004612142,"about_ca_system_score_gemma":0.007884778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8063514,"about_ca_topic_score_gemma":0.9078229,"domain_scores_codex":[0.9998422,0.00001372737,0.000008674851,0.00004021825,0.00006689156,0.00002828774],"domain_scores_gemma":[0.9996903,0.00002115762,0.00001805359,0.00003570942,0.0001606229,0.00007426679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005710407,0.000166172,0.1373303,0.0004625196,0.0000937419,0.0003945771,0.0008753858,0.003640878,0.008014409,0.008440684,0.3098975,0.5301129],"study_design_scores_gemma":[0.00004149579,0.00001846783,0.1758511,0.0002801821,0.00001672635,0.0000906992,0.0005866604,0.002839829,0.00129186,0.001133887,0.8178269,0.00002229418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.1414947,0.01037828,0.005087563,0.005031841,0.001397994,0.0002057021,0.1971379,0.002410011,0.6368559],"genre_scores_gemma":[0.2662946,0.004910516,0.01205064,0.0004241306,0.0001179805,0.0001325383,0.0937153,0.001841846,0.6205124],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1936486,"threshold_uncertainty_score":0.389578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014484029748616,"score_gpt":0.2186099341979577,"score_spread":0.2041259044493416,"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."}}