{"id":"W7098695580","doi":"","title":"Time Division Multiplering of a Serial Fibre Optic Bragg Grating Sensor Array","year":2015,"lang":"en","type":"article","venue":"","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Division (mathematics); Optical fiber; Fiber Bragg grating; Grating; Sensor array","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003919131,0.0004106033,0.000351886,0.0005853329,0.0003830754,0.0007230169,0.0007470798,0.0005067253,0.0088623],"category_scores_gemma":[0.0005238728,0.000339629,0.0002172045,0.000592213,0.0002347539,0.0009135933,0.0003723964,0.0003611494,0.003038946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008065554,"about_ca_system_score_gemma":0.0005822656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002061453,"about_ca_topic_score_gemma":0.005567046,"domain_scores_codex":[0.999416,0.00003853367,0.00002077715,0.0001642449,0.0003107119,0.00004984516],"domain_scores_gemma":[0.9996037,0.0000611902,0.00006545988,0.00006045015,0.0001795678,0.00002974977],"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":[0.0003568839,0.0001195035,0.002055502,0.0001738003,0.00003797095,0.0001171966,0.0001670478,0.001722626,0.8152419,0.001760228,0.005121291,0.173126],"study_design_scores_gemma":[0.00005255844,0.0007120715,0.009877793,0.0000496354,0.00007397734,0.0009027519,0.0001794981,0.1118292,0.834787,0.001251191,0.04017231,0.0001121032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4155363,0.001612587,0.5126397,0.001615713,0.00199537,0.000469919,0.002075508,0.006924421,0.05713055],"genre_scores_gemma":[0.7056859,0.0006188331,0.2347571,0.0006136372,0.0001855601,0.0001436188,0.0006759684,0.0002212805,0.05709819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0088623,"threshold_uncertainty_score":0.02964729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04292759756394143,"score_gpt":0.2259510864468676,"score_spread":0.1830234888829262,"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."}}