{"id":"W4383768071","doi":"10.53829/ntr201906fa12","title":"Optical Fiber and Optical Device Technology for Innovative Manufacturing","year":2019,"lang":"en","type":"article","venue":"NTT technical review","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"Optical fiber; Fiber; Materials science; Manufacturing engineering; Computer science; Optoelectronics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001536956,0.0007333736,0.0004789967,0.002292676,0.0008079369,0.001954436,0.0008074532,0.002308945,0.008072848],"category_scores_gemma":[0.001165616,0.0002777981,0.0005041751,0.002206731,0.001429288,0.002750339,0.001255395,0.002433609,0.003932361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002237791,"about_ca_system_score_gemma":0.002678077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646208,"about_ca_topic_score_gemma":0.002063168,"domain_scores_codex":[0.999015,0.0001416463,0.00007599857,0.0001356231,0.0005471585,0.00008459645],"domain_scores_gemma":[0.9992422,0.0002527428,0.00009699099,0.00006275978,0.0003049855,0.00004043174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004291185,0.000111518,0.0002969044,0.004343922,0.00004772253,0.0003333314,0.0002041418,0.001089039,0.009334835,0.3497384,0.08737607,0.5470811],"study_design_scores_gemma":[0.000003904411,0.00004864008,0.0002350774,0.0006444621,0.000008407711,0.0003571352,0.00003397756,0.000177569,0.001158905,0.01518699,0.9821333,0.00001154088],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.001431166,0.888827,0.009745914,0.006745383,0.003548354,0.0001008595,0.00009406074,0.0000724229,0.08943482],"genre_scores_gemma":[0.01975797,0.909315,0.01319773,0.003904203,0.002564387,0.0001538344,0.0001362054,0.00003455823,0.050936],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008072848,"threshold_uncertainty_score":0.02700639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104111292104782,"score_gpt":0.2613461823837395,"score_spread":0.2503050694626917,"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."}}