{"id":"W272880420","doi":"","title":"Spectroscopy Applied to Mobile Source Emissions","year":2006,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Spectroscopy; Environmental science; Materials science; Chemistry; Environmental chemistry; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001746654,0.0004385158,0.0003943821,0.0005863179,0.0006109221,0.0005552785,0.0003561421,0.0007795863,0.002434592],"category_scores_gemma":[0.0005150849,0.0002506093,0.0004265804,0.0005792939,0.0004088421,0.0005156012,0.0007569989,0.0006663958,0.000569385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762846,"about_ca_system_score_gemma":0.0002474966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005794292,"about_ca_topic_score_gemma":0.0006674662,"domain_scores_codex":[0.9998046,0.00004694962,0.000004361542,0.00004481519,0.0000712509,0.00002799754],"domain_scores_gemma":[0.9998312,0.00009284428,0.000009662663,0.00001640067,0.00003978696,0.00001008841],"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":[0.000267887,0.00005661639,0.0009645483,0.0002407455,0.00003141466,0.0004973671,0.0003054623,0.01008302,0.8532946,0.02295892,0.001046968,0.1102524],"study_design_scores_gemma":[0.00006980651,0.0004621104,0.002790983,0.0001208528,0.00005905194,0.001014672,0.0003491902,0.1298776,0.8079494,0.01867571,0.038562,0.00006856845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2805821,0.01047382,0.6567311,0.001117286,0.0008824274,0.0001677696,0.0001178337,0.00137765,0.04854996],"genre_scores_gemma":[0.9237314,0.003632735,0.05948802,0.0002478988,0.0001715053,0.00008893575,0.00004862256,0.00008953528,0.01250141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002434592,"threshold_uncertainty_score":0.008144498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005565459485000489,"score_gpt":0.2174478961666548,"score_spread":0.2118824366816543,"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."}}