{"id":"W4367846754","doi":"10.1007/s11631-023-00606-w","title":"Quantification of radiation damage in natural and synthetic zircon by Raman spectroscopy: application to low-temperature thermochronology","year":2023,"lang":"en","type":"article","venue":"Acta Geochimica","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Zircon; Raman spectroscopy; Thermochronology; Full width at half maximum; Metamictization; Geology; Radiation damage; Geochronology; Mineralogy; Geochemistry; Radiation; Analytical Chemistry (journal); Materials science; Chemistry; Optics; Optoelectronics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001626851,0.0001023651,0.0001802807,0.0001253682,0.00004993869,0.0000191293,0.0001510973,0.00008940511,0.0004016492],"category_scores_gemma":[0.00008331864,0.00008052555,0.00003164929,0.0005792094,0.00006747424,0.00007083516,0.00001708531,0.000135094,0.0001134417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004380165,"about_ca_system_score_gemma":0.000009202163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007669569,"about_ca_topic_score_gemma":0.001420994,"domain_scores_codex":[0.9991077,0.00006202724,0.0002009613,0.0003107061,0.0001073373,0.0002112468],"domain_scores_gemma":[0.9995444,0.0001307777,0.0000690301,0.0001737768,0.00001913159,0.00006287441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003158581,0.00001927035,0.03774618,0.00001507664,0.000008471726,7.174905e-7,0.00008919479,0.0002200602,0.9529238,0.00005379065,0.0005184679,0.008373355],"study_design_scores_gemma":[0.0001453054,0.00005885909,0.7776012,0.000009635525,0.00001210733,0.000001302899,0.00006285966,0.009225944,0.210223,0.00224147,0.0002954646,0.0001228291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956727,0.0001559445,0.00002274103,0.003610271,0.00004170174,0.0001755493,0.00004217276,0.00003642022,0.0002425168],"genre_scores_gemma":[0.9988042,0.0001149742,0.00009869603,0.0001545198,0.00002217424,0.000005144243,0.0007509283,0.000002111366,0.00004732226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7427008,"threshold_uncertainty_score":0.4397776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004384330983872756,"score_gpt":0.2029982893076991,"score_spread":0.1986139583238263,"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."}}