{"id":"W2158230657","doi":"10.1007/978-3-319-48933-9_41","title":"Glasses for Photonic Integration","year":2017,"lang":"en","type":"book-chapter","venue":"Springer handbooks","topic":"Glass properties and applications","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Photonics; Materials science; Optoelectronics; Dielectric; Nanotechnology; Realization (probability); Engineering physics; Engineering","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":[0.0001594876,0.0002582052,0.0002919463,0.00005132824,0.0004179672,0.0002771508,0.0004440613,0.0002213232,0.000635847],"category_scores_gemma":[0.00003122136,0.0002128339,0.0001595438,0.000002225097,0.0001452042,0.00009160159,0.0001142411,0.000145601,0.0006930485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006682939,"about_ca_system_score_gemma":0.000105841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002947165,"about_ca_topic_score_gemma":0.0001627958,"domain_scores_codex":[0.9989089,0.000003825146,0.0002554249,0.0004332391,0.0001648242,0.0002337554],"domain_scores_gemma":[0.9987256,0.00003713978,0.0002879973,0.0007392858,0.0001426722,0.00006729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006535657,0.00002070097,0.000002474526,0.0001435293,0.00003841799,0.000002764259,0.0001768264,0.000002108101,0.616581,0.3461562,0.008093935,0.02871669],"study_design_scores_gemma":[0.0001825478,0.00005244495,0.000004686672,0.000299098,0.00005400815,0.000002333076,0.000003935061,0.00003935327,0.2229216,0.01953097,0.7566389,0.0002700601],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001604814,0.001393775,0.00530412,0.0002869582,0.00122215,0.001432562,0.0001945835,0.0002231866,0.9883379],"genre_scores_gemma":[0.03267657,0.0001789657,0.003453417,0.0001120408,0.0005555822,0.0003670872,0.00004178936,0.00008773992,0.9625268],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.748545,"threshold_uncertainty_score":0.8907968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639743016488073,"score_gpt":0.2673592689199853,"score_spread":0.2209618387551046,"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."}}