{"id":"W2810645653","doi":"10.1364/sensors.2018.sem2e.4","title":"Fiber-grating-based Hyperthermal Therapeutic Device for mm-sized ex vivo Lethal Volume","year":2018,"lang":"en","type":"article","venue":"Advanced Photonics 2018 (BGPP, IPR, NP, NOMA, Sensors, Networks, SPPCom, SOF)","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Ex vivo; Fiber Bragg grating; Materials science; Volume (thermodynamics); Optical fiber; Fiber; Optoelectronics; Optics; In vivo; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0006675106,0.001813837,0.001739495,0.0003294768,0.0007979315,0.0002202306,0.001243252,0.0009684813,0.001177801],"category_scores_gemma":[0.00024075,0.001948279,0.0007253095,0.001080113,0.0007361718,0.0007771758,0.0001733812,0.001275908,0.0005067658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006936864,"about_ca_system_score_gemma":0.0001905205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004963131,"about_ca_topic_score_gemma":0.0002299125,"domain_scores_codex":[0.9924144,0.0002409494,0.001714764,0.001818286,0.0007830053,0.003028633],"domain_scores_gemma":[0.9939405,0.001708406,0.0006053008,0.002397755,0.0006312399,0.0007167593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001041533,0.0002334092,0.000200436,0.000223349,0.0005337945,0.00006426725,0.0005213495,0.9600587,0.01853884,0.0001423724,0.006139808,0.01230211],"study_design_scores_gemma":[0.004776857,0.0006249745,0.0001126045,0.0002027246,0.0002508135,0.00009673778,0.0001824975,0.7581072,0.01959918,0.0004345343,0.2134175,0.002194347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7802616,0.007530717,0.1794299,0.000660993,0.01007414,0.006782159,0.0007880682,0.005445884,0.009026496],"genre_scores_gemma":[0.765889,0.0004070787,0.2213878,0.002131004,0.002200754,0.0006740994,0.0003616626,0.00151451,0.005434125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2072777,"threshold_uncertainty_score":0.9997352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429578895978389,"score_gpt":0.2419102511198346,"score_spread":0.2276144621600507,"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."}}