{"id":"W2381358948","doi":"","title":"A real example about analyzing the loss due to hydrogen diffusion","year":2000,"lang":"en","type":"article","venue":"Study On Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Diffusion; Focus (optics); Hydrogen; Computer science; Optics; Physics; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001213556,0.0001132515,0.0001267633,0.00005083022,0.0004009001,0.00002595171,0.001122946,0.0000383845,0.00005185609],"category_scores_gemma":[0.00003011127,0.00008917697,0.00003365359,0.0004777532,0.00008777947,0.00004228107,0.0002772635,0.0002879419,0.0001980149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005195287,"about_ca_system_score_gemma":0.000003692086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009413208,"about_ca_topic_score_gemma":0.0004123067,"domain_scores_codex":[0.9993305,0.00005552649,0.0001806688,0.0001300518,0.0001008335,0.0002024592],"domain_scores_gemma":[0.9973041,0.0002924885,0.00001309461,0.002330283,0.0000180948,0.00004195036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004777865,0.001530728,0.01419932,0.00001227615,0.000352722,0.0000201879,0.01221162,0.2417013,0.001516046,0.02145224,0.002391199,0.7045646],"study_design_scores_gemma":[0.002643839,0.001504473,0.5070574,0.000308676,0.0003143896,0.00003266169,0.01409435,0.1497421,0.0008407625,0.02347808,0.2974656,0.002517685],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737321,0.0002582171,0.001209201,0.001065825,0.00002332107,0.0005097961,0.000005718888,0.000850431,0.02234541],"genre_scores_gemma":[0.9934518,0.0007910971,0.005373697,0.00004130006,0.00001986919,0.0001926498,0.000005730027,0.00002465697,0.00009922835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7020469,"threshold_uncertainty_score":0.3636531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760661965786633,"score_gpt":0.2854650349364387,"score_spread":0.2578584152785723,"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."}}