{"id":"W4404862542","doi":"10.1088/1361-6501/ad9510","title":"Intensity-varied interferometric autocorrelations for characterisations of optical nonlinearity","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Interferometry; Intensity (physics); Optics; Nonlinear system; Materials science; Nonlinear optical; Physics; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001231113,0.0004659216,0.0002149021,0.001099861,0.0002842208,0.0003412928,0.001192172,0.0003776093,0.002133138],"category_scores_gemma":[0.003322425,0.0002517646,0.0002403723,0.0007960025,0.001233901,0.0009467161,0.0004002502,0.0007756182,0.0002388933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009347395,"about_ca_system_score_gemma":0.0004485903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008896832,"about_ca_topic_score_gemma":0.001101736,"domain_scores_codex":[0.9993068,0.0002568575,0.0000265503,0.00009090637,0.0002426617,0.0000762191],"domain_scores_gemma":[0.9988658,0.0006104758,0.0002199323,0.000157093,0.0001078867,0.0000387513],"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":[0.0003430583,0.0003381859,0.003561329,0.0002535815,0.00007243088,0.0004236333,0.0003678375,0.1233472,0.7010722,0.1407543,0.0004858897,0.02898035],"study_design_scores_gemma":[0.00002850372,0.000169318,0.002831755,0.00002431083,0.00001773618,0.0001449572,0.00006847163,0.8399023,0.144769,0.01100491,0.0009703616,0.00006832454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3769251,0.000301925,0.6132969,0.000166108,0.00004719701,0.000183556,0.0003272162,0.0007935427,0.007958487],"genre_scores_gemma":[0.9432067,0.0001251256,0.05599995,0.00003528763,0.00001606309,0.00008883272,0.00008222072,0.00005162764,0.0003941366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002133138,"threshold_uncertainty_score":0.007136047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444930867312457,"score_gpt":0.2585245180924809,"score_spread":0.2240752094193563,"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."}}