{"id":"W3013948118","doi":"10.1002/adom.202000150","title":"Monolithic Chalcogenide Optical Nanocomposites Enable Infrared System Innovation: Gradient Refractive Index Optics","year":2020,"lang":"en","type":"article","venue":"Advanced Optical Materials","topic":"Phase-change materials and chalcogenides","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Air Force Research Laboratory; U.S. Department of Defense","keywords":"Materials science; Chalcogenide; Refractive index; Lens (geology); Nanocomposite; Chalcogenide glass; Optics; Planar; Optoelectronics; Infrared; Gradient-index optics; High-refractive-index polymer; Nanotechnology; Computer science; Physics","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":[0.0001200871,0.000195965,0.00009360878,0.0001300291,0.00009515377,0.0003593628,0.0001507583,0.0001797621,0.000668687],"category_scores_gemma":[0.0001008047,0.0001281314,0.00008025252,0.00007142814,0.0002548154,0.0002788566,0.0001814259,0.0002813299,0.000185165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002770646,"about_ca_system_score_gemma":0.000167612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002075001,"about_ca_topic_score_gemma":0.0007396272,"domain_scores_codex":[0.9999402,0.000007887558,0.000002248756,0.00001513348,0.00002488065,0.000009668002],"domain_scores_gemma":[0.999943,0.00001218585,0.00001731886,0.000006828561,0.00001157262,0.000009163498],"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":[0.00001080221,0.000006076434,0.00004726128,0.0000154968,0.000001714656,0.00001339352,0.000006453875,0.0001275091,0.9978059,0.0005502041,0.00003971985,0.001375423],"study_design_scores_gemma":[0.000003100588,0.00004036841,0.0002768823,0.000001182575,0.000002835257,0.00003791933,0.000005245371,0.001656071,0.9965996,0.00006564901,0.001308624,0.000002452601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479741,0.001472172,0.03958608,0.0001452357,0.00007737787,0.0000467202,0.00008160505,0.0004823694,0.01013427],"genre_scores_gemma":[0.9856429,0.0002378249,0.01163571,0.00003025427,0.00000958789,0.000011685,0.00002913916,0.00002309293,0.002379783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000668687,"threshold_uncertainty_score":0.002236962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780698206051072,"score_gpt":0.2603577563519891,"score_spread":0.2325507742914784,"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."}}