{"id":"W2076747180","doi":"10.1364/ao.46.002119","title":"Single-beam differential z-scan technique","year":2007,"lang":"en","type":"article","venue":"Applied Optics","topic":"Nonlinear Optical Materials Studies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optics; Detector; SIGNAL (programming language); Beam (structure); Materials science; Aperture (computer memory); Laser beam quality; Physics; Transmission (telecommunications); Nonlinear system; Laser; Telecommunications; Acoustics; Laser beams; Computer science","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":[0.000340799,0.0004349996,0.000552708,0.0006869638,0.0003137869,0.0004545602,0.001770176,0.0006342328,0.004098405],"category_scores_gemma":[0.0004034659,0.0004735245,0.0002200209,0.0005899047,0.0005594778,0.0006686252,0.0008321984,0.000772965,0.001805703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172604,"about_ca_system_score_gemma":0.0004254366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004310815,"about_ca_topic_score_gemma":0.001003563,"domain_scores_codex":[0.9995502,0.0000366555,0.00001753287,0.0001381136,0.0002134512,0.00004414865],"domain_scores_gemma":[0.9994691,0.0001386736,0.00008701541,0.0001129511,0.0001422906,0.0000500202],"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":[0.000065022,0.00001891561,0.000326903,0.00009281261,0.000008051586,0.0000840929,0.00002784963,0.00007753349,0.9860519,0.0007975404,0.0003351295,0.01211425],"study_design_scores_gemma":[0.00001648032,0.00009584596,0.001158412,0.000004443747,0.0000139511,0.0009945101,0.00002111789,0.003261222,0.9884084,0.0002138505,0.005792808,0.00001908504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.448119,0.00364977,0.5336108,0.0004730884,0.0002368372,0.0002654554,0.001300121,0.002747026,0.009597983],"genre_scores_gemma":[0.5241038,0.001888413,0.4609994,0.0003271764,0.00006253466,0.0003060748,0.0009713633,0.00018098,0.01116026],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004098405,"threshold_uncertainty_score":0.01371056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004752568073124,"score_gpt":0.2093345413847979,"score_spread":0.1992870157040667,"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."}}