{"id":"W2900399161","doi":"10.2138/rmg.2018.84.5","title":"Using Infrared and Raman Spectroscopy to Analyze Gas–Solid Reactions","year":2018,"lang":"en","type":"article","venue":"Reviews in Mineralogy and Geochemistry","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Library science; Media studies; History; Art history; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000159481,0.0001404416,0.0003123543,0.00005258544,0.00005156459,0.00002525876,0.00003924769,0.00009481305,0.00005951697],"category_scores_gemma":[0.00005855205,0.0001352398,0.00002331797,0.0001302778,0.00006218351,0.00003726795,0.00002301803,0.00008669173,0.00001056287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002334103,"about_ca_system_score_gemma":0.000005435433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000263297,"about_ca_topic_score_gemma":0.00003372166,"domain_scores_codex":[0.999274,0.00002615146,0.0002805271,0.0001829311,0.00003094108,0.0002054076],"domain_scores_gemma":[0.9996802,0.0000183324,0.00003011569,0.0001727346,0.00001771455,0.00008085916],"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":[0.000006570138,0.000005520779,0.0005143934,0.0001502563,0.000008567549,0.000006540891,0.0001031193,0.00004831283,0.9976013,0.000007532076,0.001000282,0.0005475879],"study_design_scores_gemma":[0.000900051,0.0001125846,0.008409139,0.001386272,0.0001341878,0.0006697452,0.00009788699,0.02006688,0.8062172,0.001315645,0.1596131,0.001077276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947245,0.002780774,0.0000889497,0.00005522859,0.0001342919,0.0001010282,0.000004348274,0.00003141523,0.00207945],"genre_scores_gemma":[0.9832093,0.004639677,0.01141941,0.0001167035,0.000333249,0.000005405727,0.00001074096,0.0000184532,0.000247044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1913841,"threshold_uncertainty_score":0.551492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997941683664783,"score_gpt":0.2867218409403097,"score_spread":0.2667424241036619,"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."}}