{"id":"W3011992368","doi":"10.1117/12.2545328","title":"Generalized two-temperature fitting algorithm for ultrashort laser heating of metal film and nanoparticles (Conference Presentation)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Materials science; Nanoparticle; Laser; Presentation (obstetrics); Computer science; Algorithm; Optoelectronics; Optics; Nanotechnology; Physics","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":[0.0007612975,0.0006429263,0.0005291561,0.0006559714,0.0004881255,0.0006020967,0.001369158,0.001271659,0.006107531],"category_scores_gemma":[0.001562344,0.0005111169,0.0007395321,0.000675473,0.000371988,0.0007958528,0.000816561,0.001098363,0.002143887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007189514,"about_ca_system_score_gemma":0.000962488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003098511,"about_ca_topic_score_gemma":0.003866225,"domain_scores_codex":[0.9997627,0.00005881125,0.00001186681,0.00005425076,0.00008545487,0.00002680917],"domain_scores_gemma":[0.9996469,0.0001377342,0.0000368851,0.00005514143,0.0001057338,0.00001752858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002034025,0.00009979185,0.0008657645,0.0001421996,0.00006997317,0.0001128731,0.0001664609,0.7366512,0.02375777,0.01111283,0.0035476,0.2232702],"study_design_scores_gemma":[0.000002892137,0.000008156732,0.00006612472,0.00000173645,0.000001451179,0.00001488988,0.000005890434,0.9963981,0.001679232,0.001232303,0.0005855658,0.000003667429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004428281,0.00003017611,0.9942657,0.00003067153,0.00000871764,0.00002021534,0.000027445,0.0009134907,0.0002751813],"genre_scores_gemma":[0.08546974,0.00005778277,0.9099407,0.00005294527,0.000009652787,0.0002425402,0.0002840248,0.0008795722,0.003063127],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006107531,"threshold_uncertainty_score":0.02043176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615428813296905,"score_gpt":0.2762330681637261,"score_spread":0.250078780030757,"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."}}