{"id":"W4392820140","doi":"","title":"Etude de systèmes supramoléculaires pour l'optimisation de la conversion ascendante de photons","year":2022,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Luminescence Properties of Advanced Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photon upconversion; Supramolecular chemistry; Two-photon excitation microscopy; Photon; Materials science; Computer science; Nanotechnology; Optoelectronics; Chemistry; Physics; Optics; Organic chemistry; Molecule","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005537957,0.001021211,0.001260695,0.0002647721,0.000802624,0.0008283876,0.002313382,0.0007663716,0.01165889],"category_scores_gemma":[0.002281416,0.001036859,0.0004136838,0.0002523656,0.001086386,0.0006849948,0.002714857,0.00100394,0.000916742],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004232665,"about_ca_system_score_gemma":0.002269321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056666,"about_ca_topic_score_gemma":0.0000992436,"domain_scores_codex":[0.9909937,0.003483742,0.001142206,0.001461687,0.001022616,0.001896041],"domain_scores_gemma":[0.9954947,0.001220508,0.0009602135,0.001517583,0.0002707484,0.000536248],"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":[0.0005036725,0.0004567754,0.004148172,0.00167769,0.0001282577,0.0002614751,0.01108633,0.02646018,0.947863,0.006400958,0.0006106863,0.0004027919],"study_design_scores_gemma":[0.001222144,0.0001759613,0.003233588,0.001568246,0.0004037779,0.0004553375,0.008085147,0.002113098,0.9454919,0.007076467,0.02884288,0.001331459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783202,0.001103273,0.003365944,0.001757594,0.002829972,0.001418523,0.0005779549,0.0005607447,0.01006579],"genre_scores_gemma":[0.9520426,0.002529084,0.04189929,0.0005342623,0.0005823178,0.0005180382,0.0001301694,0.0002138634,0.001550311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03853335,"threshold_uncertainty_score":0.9998612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897493931562514,"score_gpt":0.2855234686734051,"score_spread":0.26654852935778,"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."}}