{"id":"W2036956020","doi":"10.1142/s0129156408005321","title":"PASSIVE STANDOFF DETECTION OF SURFACE CONTAMINANTS: A NOVEL APPROACH BY DIFFERENTIAL POLARIZATION FTIR SPECTROMETRY","year":2008,"lang":"en","type":"article","venue":"International Journal of High Speed Electronics and Systems","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Radiance; Polarization (electrochemistry); Fourier transform infrared spectroscopy; Sky; Materials science; Mass spectrometry; Optics; Remote sensing; Fourier transform; Environmental science; Analytical Chemistry (journal); Optoelectronics; Physics; Chemistry; Environmental chemistry; Geology; Meteorology; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001276614,0.0001585617,0.0003398625,0.0001250083,0.00009369649,0.00005303151,0.0002707026,0.0001191764,0.00003800056],"category_scores_gemma":[0.00003182321,0.0001414727,0.00009811093,0.0001348277,0.00006609406,0.0001657568,0.00002700625,0.0003065988,7.423267e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002777187,"about_ca_system_score_gemma":0.0001129141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002036092,"about_ca_topic_score_gemma":0.000006905369,"domain_scores_codex":[0.9983752,0.00002305137,0.0006350617,0.0001806417,0.0005856415,0.0002003927],"domain_scores_gemma":[0.9984733,0.00006878687,0.0007751433,0.000120605,0.0004837894,0.0000783892],"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":[0.0002345204,0.0002946491,0.0007899781,0.00002824927,0.0003589586,0.000004499831,0.0001130444,0.0002011735,0.9945312,0.003217419,0.0001123478,0.0001139563],"study_design_scores_gemma":[0.00358748,0.0003290897,0.001913685,0.00008942366,0.0001105691,0.001348851,0.0003331463,0.01131374,0.9787576,0.0001997921,0.001749992,0.0002666335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351328,0.001330037,0.06272408,0.00006579391,0.0002630484,0.00007854212,0.0001227965,0.00001196693,0.0002709317],"genre_scores_gemma":[0.9984228,0.0006637699,0.0001527767,0.000007015695,0.0002774869,0.000001763144,0.00005847677,0.00001891706,0.00039702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06328996,"threshold_uncertainty_score":0.5769088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007820861534951913,"score_gpt":0.2291130952916196,"score_spread":0.2212922337566677,"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."}}