{"id":"W2605191003","doi":"10.3749/canmin.1500065","title":"Identification of Fluid Inclusion Solid Phases Using A Focused Ion Beam Scanning Electron Microscope With Energy Dispersive Spectroscopy: Implications For Interpreting Microthermometric Data and Composition of Fluids In SN (-W-Mo) Deposits","year":2016,"lang":"en","type":"article","venue":"The Canadian Mineralogist","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Halite; Fluid inclusions; Scanning electron microscope; Energy-dispersive X-ray spectroscopy; Fluorite; Mineralogy; Analytical Chemistry (journal); Focused ion beam; Spectroscopy; Inclusion (mineral); Chemistry; Geology; Quartz; Ion; Materials science; Gypsum","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.0006059926,0.0002413025,0.0001752048,0.001403592,0.0003545734,0.000718385,0.0004908958,0.0005088499,0.0005395035],"category_scores_gemma":[0.0006278663,0.0002064747,0.000141588,0.0005544268,0.0005958874,0.0004605493,0.0002403164,0.0002112417,0.0001619859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005569471,"about_ca_system_score_gemma":0.0003700435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008794359,"about_ca_topic_score_gemma":0.03158719,"domain_scores_codex":[0.9998034,0.00002458943,0.00002623209,0.00002974405,0.00009852785,0.00001756696],"domain_scores_gemma":[0.9996302,0.0000939802,0.00005573008,0.00002222039,0.0001789767,0.00001880536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009932683,0.00001592489,0.01588175,0.00008905152,0.00001473548,0.0002649726,0.0002140136,0.0004678173,0.9737578,0.0002252171,0.0001146833,0.008854575],"study_design_scores_gemma":[0.0000174581,0.0001041219,0.1771825,0.00006320555,0.00003853647,0.001086068,0.001675642,0.01436166,0.7996671,0.0008775075,0.00489081,0.00003551304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693915,0.000720832,0.02685901,0.0002330635,0.00002408523,0.0001069884,0.0005143067,0.0002534814,0.001896828],"genre_scores_gemma":[0.9346779,0.0003212904,0.06376738,0.00009386385,0.000006824654,0.00003360449,0.0001878711,0.00005382996,0.0008574419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008794359,"threshold_uncertainty_score":0.01748633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741049235949808,"score_gpt":0.2524246622031542,"score_spread":0.2350141698436562,"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."}}