{"id":"W4317567425","doi":"10.1002/advs.202205458","title":"Unique Photoactivated Time‐Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Simon Fraser University","funders":"Western Economic Diversification Canada; Simon Fraser University; Canada Foundation for Innovation; British Columbia Knowledge Development Fund; CMC Microsystems; Natural Sciences and Engineering Research Council of Canada; Innovation for Defence Excellence and Security","keywords":"Volatile organic compound; Materials science; Response time; Nanotechnology; Computer science; Chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004747606,0.00009178404,0.0001559323,0.0002919687,0.00008561338,0.00001773329,0.00011294,0.00004053977,0.000003038285],"category_scores_gemma":[0.0003445549,0.00009416508,0.0000198923,0.001695074,0.00009875756,0.000205971,0.00001828724,0.00005443447,0.000008062836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392977,"about_ca_system_score_gemma":0.00005109678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001280594,"about_ca_topic_score_gemma":0.0000250725,"domain_scores_codex":[0.9992133,0.00003382056,0.0001768413,0.000188953,0.0001199791,0.0002671281],"domain_scores_gemma":[0.999418,0.0002670656,0.00003871767,0.0001365337,0.0001035434,0.00003613483],"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":[0.0002317681,0.000005639898,0.00002380785,0.00001027638,0.00000235262,0.000001185862,0.0003256857,0.02057581,0.9784032,0.00000260965,0.000008386406,0.0004092641],"study_design_scores_gemma":[0.0002610121,0.0001011283,0.009741497,0.00002265022,0.000001643622,0.000002108914,0.00005825188,0.1329577,0.8565526,0.0001462053,0.00006708338,0.00008810509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978032,0.000007101327,0.001421738,0.00001225226,0.0001878416,0.0002452054,0.000008192073,0.0002502202,0.0000642438],"genre_scores_gemma":[0.9986941,0.000006124098,0.001198436,0.000004732927,0.000006942613,0.00001099729,0.000002349965,0.00001875701,0.00005752643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1218506,"threshold_uncertainty_score":0.383994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007644957851321638,"score_gpt":0.2281682473100491,"score_spread":0.2205232894587274,"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."}}