{"id":"W2966275390","doi":"10.1017/s1431927619001983","title":"The Impact of Phase on Mass Absorption Coefficients Using Soft X-ray Emission Spectrometry","year":2019,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; McGill University","funders":"","keywords":"Mass spectrometry; Materials science; Analytical Chemistry (journal); Absorption (acoustics); Phase (matter); X-ray; Chemistry; Optics; Physics; Chromatography; Composite material","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":[0.0006216672,0.0002482755,0.0004081916,0.0002383605,0.0002843037,0.0001496789,0.0002859872,0.0001046167,0.0003724083],"category_scores_gemma":[0.00002754723,0.0001598592,0.0002442486,0.0005024044,0.0001488694,0.0001161458,0.00005321581,0.0001700764,0.00004287541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879978,"about_ca_system_score_gemma":0.00007279415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002142877,"about_ca_topic_score_gemma":0.000003535013,"domain_scores_codex":[0.9983839,0.0001098803,0.0003872204,0.0004355019,0.0002304232,0.0004530876],"domain_scores_gemma":[0.9989774,0.00009036207,0.000285989,0.000473743,0.00008243138,0.00009006428],"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":[0.0002820666,0.0002240818,0.001364566,0.00001543897,0.00006225223,9.573268e-7,0.00008013668,0.00009765665,0.9971572,0.00003515437,0.0002249589,0.0004555619],"study_design_scores_gemma":[0.0007038139,0.0007168608,0.0002484426,0.00005484809,0.00009670519,0.000003950553,0.00006275461,0.001994588,0.9956248,0.0001288216,0.000184183,0.0001802292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857002,0.0007548505,0.01291416,0.00002877165,0.0000845331,0.0002442684,0.00003890476,0.00005574843,0.0001785933],"genre_scores_gemma":[0.9962066,0.0002027165,0.002928391,0.0000333857,0.00003075818,0.000003397507,0.00001402938,0.00002271024,0.0005579795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01050646,"threshold_uncertainty_score":0.6518868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104106323608663,"score_gpt":0.3221874646566656,"score_spread":0.3117768322957993,"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."}}