{"id":"W4393241470","doi":"10.2139/ssrn.4740966","title":"A Nanogold Sensor Test for Tire Wear Chemicals Based on the Plasmon Ruler Approach","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Ruler; Test (biology); Plasmon; Automotive engineering; Materials science; Computer science; Nanotechnology; Environmental science; Engineering; Optoelectronics; Physics; Geology","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":[0.0006629239,0.0007343331,0.0006475569,0.001046277,0.0005032943,0.0006297142,0.000984158,0.001404206,0.001675474],"category_scores_gemma":[0.0008248526,0.000502724,0.0006761247,0.000300698,0.0004312667,0.0005317638,0.0007012014,0.0007187055,0.001365398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003439965,"about_ca_system_score_gemma":0.0003406704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005673614,"about_ca_topic_score_gemma":0.001543089,"domain_scores_codex":[0.9978731,0.0001907961,0.0001049058,0.000522506,0.001152002,0.000156785],"domain_scores_gemma":[0.9990156,0.0002061991,0.0001365775,0.0002641222,0.0002993794,0.00007811245],"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":[0.00007070065,0.00004864443,0.000324318,0.00005060845,0.00001031861,0.00003369783,0.00002970989,0.00005412185,0.9952257,0.00008048159,0.00007559386,0.003996088],"study_design_scores_gemma":[0.000008848143,0.0005716436,0.002095375,0.000006003694,0.00002228823,0.0002375573,0.00003777669,0.00188678,0.9942341,0.00004656225,0.0008359672,0.00001701479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8652415,0.001921786,0.1177105,0.0002639711,0.0004280052,0.0006791781,0.0007858733,0.001992915,0.01097624],"genre_scores_gemma":[0.8752906,0.0006960083,0.1094063,0.0002605905,0.00003418343,0.0002695634,0.0007090586,0.0001275755,0.01320615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001675474,"threshold_uncertainty_score":0.005605042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051359962409607,"score_gpt":0.2241382702803763,"score_spread":0.2136246706562802,"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."}}