{"id":"W2920681269","doi":"10.1117/12.2511310","title":"CO2 Glass ablation for the micro fabrication of fiber components for medical and industrial applications","year":2019,"lang":"en","type":"article","venue":"","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Fabrication; Cladding (metalworking); Materials science; Optical fiber; Flexibility (engineering); Optoelectronics; Characterization (materials science); Nanotechnology; Computer science; Telecommunications; Composite material","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001455916,0.00006608445,0.00009907872,0.0000162274,0.00009794632,0.00001386895,0.0001472217,0.0001250597,0.0009590493],"category_scores_gemma":[0.00004913579,0.0000498698,0.00004347377,0.00006622798,0.00005193817,0.00003560715,0.00002222111,0.0000683246,0.00001519845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002060133,"about_ca_system_score_gemma":0.00004062923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003359878,"about_ca_topic_score_gemma":0.000007107604,"domain_scores_codex":[0.999402,0.000004344401,0.0002103156,0.0001650374,0.0001207688,0.00009754031],"domain_scores_gemma":[0.9988239,0.0007014956,0.0001018671,0.0002416662,0.00009091235,0.00004018068],"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":[0.0004580892,0.0005411591,0.01369337,0.0004302721,0.0002749034,2.503123e-8,0.0002166302,0.00009543063,0.8537275,0.06197959,0.02767125,0.04091173],"study_design_scores_gemma":[0.003569185,0.00004562513,0.003015222,0.0000316506,0.0001426164,0.000003036621,0.0002201509,0.03713757,0.3616945,0.002349598,0.5915838,0.0002070114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7025502,0.0002246248,0.2722422,0.005959577,0.0001421928,0.004564136,0.0004833622,0.0001258322,0.01370778],"genre_scores_gemma":[0.992892,0.00001732014,0.001643337,0.00009221159,0.0002559947,0.00147941,0.0003642984,0.00001357841,0.003241808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5639126,"threshold_uncertainty_score":0.9999542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251023308267254,"score_gpt":0.2844896988873037,"score_spread":0.2619794658046312,"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."}}