{"id":"W1987750900","doi":"10.1002/sia.3069","title":"Comparison of two parameter choice methods for the extraction of depth profiles by means of a regularized multipoint profile model from ARXPS data obtained on a three‐component system","year":2009,"lang":"en","type":"article","venue":"Surface and Interface Analysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analytical Chemistry (journal); Nitrogen; Plasma; Chemistry; X-ray photoelectron spectroscopy; Regularization (linguistics); Statistic; Oxygen; Polystyrene; Function (biology); Computational physics; Statistics; Mathematics; Physics; Chromatography; Nuclear magnetic resonance; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001271407,0.0002312361,0.0009657003,0.0001140534,0.0000813976,0.00003729105,0.000570165,0.00009063287,0.00002610728],"category_scores_gemma":[0.0001214366,0.000156866,0.0001951134,0.0003368245,0.0001225527,0.0002466325,0.00008836555,0.0001396297,6.068204e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005076351,"about_ca_system_score_gemma":0.00003207112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001390513,"about_ca_topic_score_gemma":0.0002617763,"domain_scores_codex":[0.9978768,0.0002845632,0.0007911575,0.0005264742,0.0002805961,0.0002404053],"domain_scores_gemma":[0.9971783,0.0008125819,0.0007662297,0.001015789,0.0001807612,0.00004634638],"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":[0.0005097518,0.0002679132,0.0005805602,0.00006372518,0.0004218797,3.295814e-8,0.0003376459,0.007379542,0.9882517,0.0002668275,0.0001924876,0.001727865],"study_design_scores_gemma":[0.0002728236,0.000260181,0.000162023,0.00005611633,0.0006847199,7.285541e-8,0.0002092568,0.4650526,0.5330833,0.0001150387,0.00002306485,0.0000808133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5010857,0.0007604952,0.4971661,0.0001233686,0.00001690033,0.0005270093,0.0002475348,0.00003534399,0.00003755036],"genre_scores_gemma":[0.7490685,0.00004514754,0.2507252,0.00001440132,0.000006734675,0.00002384103,0.00007732942,0.00001032498,0.00002849887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4576731,"threshold_uncertainty_score":0.6396811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06333788108836949,"score_gpt":0.4227002691565928,"score_spread":0.3593623880682233,"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."}}