{"id":"W2050363712","doi":"10.1139/p07-153","title":"The photon clean method: an event-based approach to analyzing X-ray spectra","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Acis; Monte Carlo method; Spectral line; Computational physics; Photon; Event (particle physics); Ionization; Algorithm; Curse of dimensionality; Statistical physics; Optics; Ion; Astrophysics; Statistics; Computer science; Artificial intelligence; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000464168,0.0001410335,0.000282576,0.00006680397,0.000380456,0.00005349776,0.0003507624,0.00003817007,0.00002774412],"category_scores_gemma":[0.0003144617,0.00009562186,0.0001477958,0.0003722667,0.00009758457,0.00008709994,0.000006738937,0.0003136967,0.000009419909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302485,"about_ca_system_score_gemma":0.0005635581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009458835,"about_ca_topic_score_gemma":0.0008295754,"domain_scores_codex":[0.9987277,0.0001489836,0.0003581641,0.000132893,0.0002569215,0.000375355],"domain_scores_gemma":[0.9979854,0.0004619446,0.0001702982,0.0002266371,0.0001781558,0.0009776119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000251463,0.001106736,0.001558344,0.0001526515,0.0006696631,0.001029023,0.008429349,0.01960177,0.001686214,0.4035091,0.04514185,0.5168638],"study_design_scores_gemma":[0.002615827,0.002534855,0.006783483,0.0002216721,0.00055132,0.0005177046,0.002798897,0.192249,0.01626885,0.7339147,0.03975049,0.001793224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0205157,0.00004310795,0.9781222,0.0003144212,0.0001608062,0.0001090906,0.00002291427,0.000008061357,0.0007036824],"genre_scores_gemma":[0.5808403,0.000004312577,0.4178834,0.000408916,0.0006596589,0.00000359386,0.000002908458,0.00003709484,0.000159848],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5603246,"threshold_uncertainty_score":0.3899346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06068135621174926,"score_gpt":0.3140963763270296,"score_spread":0.2534150201152804,"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."}}