{"id":"W6950783175","doi":"10.5683/sp3/o4yxiz","title":"Gritty Dolomite Cathodoluminescence Images Sample NT114A","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cathodoluminescence; Sample (material); Dolomite; Reflectivity","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":[0.000293529,0.001422326,0.0009212102,0.001430767,0.000943862,0.001408028,0.001569958,0.001156152,0.04804454],"category_scores_gemma":[0.0008584024,0.000543679,0.001009705,0.002117924,0.000329336,0.00076895,0.0009399027,0.0009942879,0.06098678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009046182,"about_ca_system_score_gemma":0.001017935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04665359,"about_ca_topic_score_gemma":0.1252061,"domain_scores_codex":[0.9995535,0.00002665034,0.00002153246,0.0001672761,0.0001227096,0.0001082699],"domain_scores_gemma":[0.9995525,0.00004973368,0.00002723965,0.0001539518,0.0001677616,0.00004868494],"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":[0.0001834168,0.00005854241,0.00212172,0.0005067876,0.00004943851,0.00006627445,0.0000507842,0.0003920859,0.005320903,0.0003405283,0.984533,0.006376501],"study_design_scores_gemma":[0.0001779601,0.00002902327,0.03795826,0.0001367891,0.0000642262,0.0002759132,0.0001934577,0.001236418,0.006447284,0.001084211,0.9523247,0.00007172464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002068493,0.000116083,0.0003258729,0.00006502485,0.00005779029,0.00002669558,0.9907696,0.002492317,0.004078202],"genre_scores_gemma":[0.00265516,0.00004665848,0.001001087,0.00003483199,0.000009725106,0.00004741123,0.9942036,0.0004334577,0.00156794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04804454,"threshold_uncertainty_score":0.160725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03924591049040713,"score_gpt":0.2768593106765316,"score_spread":0.2376134001861245,"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."}}