{"id":"W2607864978","doi":"10.14288/cjur.v2i1.188916","title":"High Resolution Multi-grating Spectrometer Controlled by an Arduino","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Focal length; Optics; Spectrometer; Zemax; Physics; Spectral resolution; Cardinal point; Resolution (logic); Grating; Wavelength; Diffraction grating; Dispersion (optics); Lens (geology); Computer science; Software; Spectral line","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":[0.0006515491,0.0005631238,0.0007209565,0.0006097993,0.0005096474,0.000459596,0.0009282137,0.0006817416,0.007738299],"category_scores_gemma":[0.0004406052,0.0003499664,0.000274546,0.0004509644,0.0002370341,0.0005777246,0.0004766767,0.0006665657,0.002037916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005192009,"about_ca_system_score_gemma":0.0005456226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004808483,"about_ca_topic_score_gemma":0.0006847317,"domain_scores_codex":[0.9994422,0.00005280439,0.00003546366,0.0001416393,0.0002835591,0.00004434967],"domain_scores_gemma":[0.9997033,0.0000772616,0.00002624743,0.00005354098,0.00009234199,0.00004729132],"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":[0.0001883928,0.00005068063,0.0007551828,0.0001754705,0.00002067237,0.000148632,0.00005258094,0.001635414,0.9683336,0.002491893,0.00125111,0.02489636],"study_design_scores_gemma":[0.0001298089,0.0006720013,0.005291442,0.00002854784,0.00004444049,0.001480336,0.00006145921,0.09271991,0.8692535,0.001248128,0.0289866,0.00008382918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2923684,0.001053482,0.666508,0.0002840703,0.0003225984,0.000773976,0.002043384,0.022255,0.014391],"genre_scores_gemma":[0.3601968,0.0002704473,0.6323211,0.00009084465,0.00003203731,0.0004250977,0.0006696434,0.0002301848,0.005763877],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007738299,"threshold_uncertainty_score":0.02588719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660931868850364,"score_gpt":0.3293915741729109,"score_spread":0.3127822554844072,"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."}}