{"id":"W6943975729","doi":"10.17632/3fpdwcgtcj","title":"Harvey Lake Itrax XRF-CS","year":2018,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sediment; Sediment core; Square (algebra); High resolution; Sample (material); Hydrology (agriculture)","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":[0.001000716,0.001731676,0.001210979,0.003000916,0.0008748861,0.001474937,0.00259253,0.001121451,0.04790401],"category_scores_gemma":[0.002583319,0.0005436103,0.0007762312,0.005276559,0.0004130301,0.001042913,0.001627544,0.001164437,0.05504458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263777,"about_ca_system_score_gemma":0.002105903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03662128,"about_ca_topic_score_gemma":0.07594738,"domain_scores_codex":[0.9991921,0.000079649,0.00006999754,0.000294304,0.0002385969,0.0001253399],"domain_scores_gemma":[0.9987782,0.0001599767,0.0001384719,0.0003222945,0.000506262,0.00009477429],"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":[0.0001401959,0.00003443399,0.004201166,0.0007138599,0.00008405583,0.00006374318,0.0001065721,0.000622588,0.001277237,0.0006198181,0.9853419,0.006794408],"study_design_scores_gemma":[0.000127546,0.00001138532,0.01507189,0.00013593,0.00003592741,0.00004450932,0.00009833671,0.000291945,0.0007951222,0.0005749189,0.9827823,0.00003029647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006825463,0.00004971572,0.0001456849,0.0000289982,0.00001113655,0.000009145894,0.9980202,0.0003612555,0.0006912592],"genre_scores_gemma":[0.001052382,0.00002700559,0.0005609572,0.00001679759,0.000004063175,0.00006090496,0.9973236,0.0001548072,0.0007994506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04790401,"threshold_uncertainty_score":0.1602549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385991859107328,"score_gpt":0.3569571037847225,"score_spread":0.2183579178739896,"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."}}