{"id":"W6931292435","doi":"10.5281/zenodo.4820892","title":"Fit-FeS: Spectral Decomposition of Iron-Sulfur Clusters. Reference spectra included.","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Case Reports and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Spectral line; Decomposition; Calibration; Matrix decomposition; Reference data; Wavelength","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":[0.0005588843,0.001667477,0.000760991,0.002364816,0.0007315386,0.0008655517,0.00186421,0.0009429326,0.1273703],"category_scores_gemma":[0.001254384,0.0006256591,0.0006063519,0.001491616,0.0002229716,0.00133619,0.0008904901,0.00104489,0.03039915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004861636,"about_ca_system_score_gemma":0.0004452072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001910977,"about_ca_topic_score_gemma":0.00246087,"domain_scores_codex":[0.9996483,0.00003029804,0.0000216133,0.00008678685,0.0001766522,0.0000364147],"domain_scores_gemma":[0.9995567,0.0001546989,0.00003476985,0.000053888,0.0001731259,0.00002670373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004752689,0.0001393772,0.001827471,0.002192609,0.00009433061,0.0007519392,0.0003405692,0.003668934,0.1001704,0.00593959,0.7335081,0.1508915],"study_design_scores_gemma":[0.0001182789,0.0001203422,0.004210981,0.0003209269,0.00007905011,0.002584039,0.0002524049,0.04542506,0.2950986,0.008002886,0.6435506,0.0002367636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04912573,0.003406716,0.4177242,0.001787872,0.001217827,0.0004043895,0.1927649,0.2564751,0.07709329],"genre_scores_gemma":[0.1757323,0.002642963,0.4216167,0.001062122,0.0001938777,0.001016333,0.2582543,0.06135739,0.07812402],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1273703,"threshold_uncertainty_score":0.4260963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05961588735033393,"score_gpt":0.3093300305267845,"score_spread":0.2497141431764506,"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."}}