{"id":"W2010949702","doi":"10.1142/s0218625x02002737","title":"TEMPERATURE EVOLUTION OF THE PHOTOEMISSION SPECTRA FOR THE Si(111) SURFACE USING THE LASER ANNEALING METHOD","year":2002,"lang":"en","type":"article","venue":"Surface Review and Letters","topic":"Surface and Thin Film Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; High Energy Accelerator Research Organization; McGill University","keywords":"Angle-resolved photoemission spectroscopy; Photoemission spectroscopy; Spectral line; Inverse photoemission spectroscopy; Annealing (glass); Atmospheric temperature range; Materials science; X-ray photoelectron spectroscopy; Binding energy; Laser; Atomic physics; Electronic structure; Analytical Chemistry (journal); Chemistry; Molecular physics; Optics; Nuclear magnetic resonance; Computational chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001644717,0.0002560719,0.0002782078,0.0002362964,0.0002189672,0.0002713212,0.0002187247,0.0003222383,0.001096478],"category_scores_gemma":[0.0002769809,0.0002557581,0.0002319769,0.000352566,0.0002880067,0.0002358296,0.0001401471,0.0005705231,0.0001887343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001590938,"about_ca_system_score_gemma":0.00009620281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008440181,"about_ca_topic_score_gemma":0.0009837202,"domain_scores_codex":[0.9998615,0.00001702737,0.000007438105,0.00003276242,0.00005866877,0.0000226925],"domain_scores_gemma":[0.9998409,0.00004793977,0.00003327148,0.00002237581,0.0000475267,0.000007970508],"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":[0.00003077673,0.000006042723,0.0004772226,0.00003287906,0.000006936571,0.00002834525,0.00005085158,0.0001281957,0.997991,0.00007386586,0.00001626337,0.001157755],"study_design_scores_gemma":[0.000002930577,0.0001021946,0.006847955,0.000004695974,0.00001351943,0.000102264,0.00003276925,0.001755976,0.9906007,0.00002586335,0.0005037562,0.000007382796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946395,0.0007486517,0.003300936,0.00005347929,0.00001616877,0.000009615642,0.0000675005,0.00005529811,0.001109042],"genre_scores_gemma":[0.9931219,0.0005065261,0.005131263,0.00002057997,0.000008449233,0.00001863452,0.00008989802,0.00002481836,0.00107797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001096478,"threshold_uncertainty_score":0.003668129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022687700467887,"score_gpt":0.2694972758028717,"score_spread":0.2492703987981929,"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."}}