{"id":"W4210339285","doi":"10.2138/am-2022-8168","title":"Repeat, fast, and high-resolution mapping of fine-scale trace element distribution in pyrite and marcasite by LA-Q-ICP-MS with the Aerosol Rapid Introduction System (ARIS)","year":2022,"lang":"en","type":"article","venue":"American Mineralogist","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Aerosol; Trace element; Resolution (logic); Analytical Chemistry (journal); Chemistry; Inductively coupled plasma mass spectrometry; Image resolution; Optics; Mass spectrometry; Physics; Chromatography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005088205,0.0001372906,0.000217696,0.00003851571,0.0002241471,0.00004649619,0.0002222505,0.00002156799,0.000005469049],"category_scores_gemma":[0.00002317956,0.0001070182,0.00002131306,0.0005104439,0.0003848921,0.0001123761,0.0002432086,0.0001995345,2.307636e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007918884,"about_ca_system_score_gemma":0.00001824388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685053,"about_ca_topic_score_gemma":0.000104439,"domain_scores_codex":[0.9986628,0.0002310075,0.0002472964,0.0004317488,0.000200518,0.000226583],"domain_scores_gemma":[0.9992582,0.00007324949,0.0002640248,0.0003203744,0.00004405271,0.00004013198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008135683,0.0009655126,0.0951079,0.0009946891,0.0002692788,0.0002041175,0.01248145,0.03720643,0.3644798,0.01576658,0.09761832,0.3740924],"study_design_scores_gemma":[0.006328935,0.004155377,0.2166165,0.0002759605,0.0001518812,0.002363055,0.03079014,0.4555069,0.01580722,0.000256488,0.2653578,0.002389729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8783224,0.0004945119,0.0967852,0.02332848,0.00009204147,0.0003547244,0.0000845812,0.00007530285,0.0004628299],"genre_scores_gemma":[0.9976382,0.00002378826,0.001802241,0.00004034236,0.00006045385,0.00007194577,0.00009296224,0.000002897288,0.0002671646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4183004,"threshold_uncertainty_score":0.4364076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00459205176742119,"score_gpt":0.1833615698828193,"score_spread":0.1787695181153981,"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."}}