{"id":"W2333776896","doi":"10.1515/secm.2011.014","title":"Application of fiber optic sensors for elevated temperature testing of polymer matrix composite materials","year":2011,"lang":"en","type":"article","venue":"Science and Engineering of Composite Materials","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Materials science; Composite material; Strain gauge; Composite number; Optical fiber; Stiffness; Ultimate tensile strength; Polymer; Fiber optic sensor; Fiber; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003781356,0.0002060757,0.0004751385,0.0002398843,0.0000441071,0.0000243406,0.0002298799,0.0000842938,0.00001586798],"category_scores_gemma":[0.00005734371,0.0002019435,0.00002762081,0.0004480556,0.0001867521,0.0002088128,0.00004985123,0.00004247309,0.000001948694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002477592,"about_ca_system_score_gemma":0.00001757662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002692488,"about_ca_topic_score_gemma":5.860286e-8,"domain_scores_codex":[0.9986735,0.000009940619,0.0005887751,0.0002173126,0.0002196784,0.0002907783],"domain_scores_gemma":[0.9991385,0.00009415612,0.0001676978,0.0002672402,0.0002636204,0.00006880815],"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":[0.00003333962,0.00001336771,0.00004097382,0.00061449,0.00002229564,5.043059e-7,0.0002349837,0.01356045,0.9849203,0.0004823671,0.000002081171,0.00007485814],"study_design_scores_gemma":[0.0002365103,0.00006687407,0.002338344,0.0001659938,0.00003451984,0.00001622881,0.00001842344,0.00643512,0.9904588,0.00003076963,0.00000933738,0.0001890545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980682,0.000114354,0.0009348006,0.000003426684,0.0002615435,0.0003508484,0.0001099573,0.0001051404,0.00005176809],"genre_scores_gemma":[0.9416388,0.000006781435,0.05824502,0.000001825963,0.00003087231,0.00001911274,0.00000988974,0.00003649505,0.00001116746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05731022,"threshold_uncertainty_score":0.8235016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100802512841386,"score_gpt":0.2238604144068745,"score_spread":0.2128523892784606,"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."}}