{"id":"W2969549751","doi":"10.1007/s00216-019-02072-x","title":"Self-heating tilted fiber Bragg grating device for melt curve analysis of solid-phase DNA hybridization and thermal cycling","year":2019,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Spartan Bioscience (Canada); Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fiber Bragg grating; Optics; Materials science; Grating; Optical fiber; Optoelectronics; Wavelength; Long-period fiber grating; Fiber optic sensor; Plastic optical fiber; Physics","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":[0.0002005276,0.0002623281,0.0006321918,0.0001008711,0.00006083837,0.00003774514,0.00009643364,0.0001752306,0.0001362724],"category_scores_gemma":[0.0002276411,0.0002376588,0.0001805911,0.0006629639,0.0001078773,0.0001190492,0.00005268132,0.0001950534,0.000003290967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003265095,"about_ca_system_score_gemma":0.00001583452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004880941,"about_ca_topic_score_gemma":0.000002323005,"domain_scores_codex":[0.9984515,0.00001383061,0.0005682108,0.0004110649,0.0001879164,0.0003674676],"domain_scores_gemma":[0.9987594,0.0005841029,0.0000893075,0.0002330351,0.0001276058,0.0002065285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004162855,0.0008303742,0.02613791,0.007046316,0.01743104,0.00004373529,0.0009249555,0.1024653,0.8182366,0.002012289,0.00009277345,0.02436242],"study_design_scores_gemma":[0.0006580041,0.00003462063,0.0003339904,0.00004211785,0.001695864,0.000004367367,0.0001110892,0.9229727,0.07369567,0.00006164415,0.0001126842,0.0002771981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947584,0.0001553945,0.003659312,0.00005782397,0.00001700378,0.0001571854,0.00008305322,0.0001154458,0.0009963439],"genre_scores_gemma":[0.9945138,0.00002965389,0.005045165,0.00003344663,0.00006900475,0.000005064575,0.00007852448,0.00003242515,0.0001929942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8205075,"threshold_uncertainty_score":0.9691443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025036963535303,"score_gpt":0.2815534196935266,"score_spread":0.2713030500581736,"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."}}