{"id":"W1450842708","doi":"10.1117/12.2207541","title":"Virtual FTIR spectrometer and 3D visual display for a course in molecular spectroscopy","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Spectrometer; Software; Fourier transform infrared spectroscopy; Course (navigation); Computer science; Spectroscopy; Virtual reality; Infrared spectroscopy; Computer graphics (images); Optics; Artificial intelligence; Chemistry; Engineering; Physics","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":[0.000874754,0.001117234,0.0004505367,0.00113983,0.0004023885,0.001161823,0.001525528,0.00156509,0.04998723],"category_scores_gemma":[0.001834586,0.0004848805,0.0008900847,0.0005415296,0.000502324,0.001582206,0.001931986,0.001146329,0.007614073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003941891,"about_ca_system_score_gemma":0.0004721894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003550126,"about_ca_topic_score_gemma":0.0003944246,"domain_scores_codex":[0.9994673,0.0001448736,0.00002011744,0.00008791679,0.0002390405,0.00004071736],"domain_scores_gemma":[0.9992091,0.0003402808,0.00003052569,0.0001706691,0.0001049539,0.0001445604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001920374,0.0006643032,0.001052142,0.0007819418,0.00007126922,0.00112797,0.0007981756,0.01465376,0.3545051,0.0793165,0.08374431,0.4613642],"study_design_scores_gemma":[0.0005756374,0.002033751,0.004311003,0.0002486882,0.0001472403,0.005823718,0.0002406299,0.1321767,0.1950102,0.03912873,0.6199071,0.0003964861],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02434724,0.001231038,0.9144115,0.001508076,0.001099231,0.0002896279,0.001042977,0.01590046,0.0401699],"genre_scores_gemma":[0.1964741,0.001801706,0.7336292,0.001115617,0.0004656444,0.0009234785,0.001421136,0.00201026,0.06215894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04998723,"threshold_uncertainty_score":0.1672239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005034727601319321,"score_gpt":0.2369171037457957,"score_spread":0.2318823761444764,"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."}}