{"id":"W4391238365","doi":"10.2172/2282590","title":"Optical Strain Sensing for Particle Detection","year":2024,"lang":"en","type":"article","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Institute for Theoretical Astrophysics","funders":"","keywords":"Strain (injury); Particle (ecology); Computer science; 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":[0.0004381763,0.0005733507,0.0003090809,0.0004905884,0.0003041075,0.0007749637,0.0007244608,0.0009113225,0.005160265],"category_scores_gemma":[0.0009304158,0.0003012225,0.000190303,0.0004344654,0.0005514604,0.00113167,0.000545917,0.0009011758,0.00138395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000927499,"about_ca_system_score_gemma":0.0002462504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006903612,"about_ca_topic_score_gemma":0.001207581,"domain_scores_codex":[0.9993318,0.00007845856,0.00002266679,0.0001460935,0.0003606238,0.00006043112],"domain_scores_gemma":[0.9994799,0.0001658053,0.0001105912,0.0000819922,0.0001271369,0.00003453885],"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":[0.0001070713,0.00008812316,0.0008357457,0.0003648878,0.00001645955,0.00009345409,0.0000751179,0.001570812,0.8938859,0.01390536,0.003635648,0.0854215],"study_design_scores_gemma":[0.0000280927,0.000371327,0.001943823,0.00007268354,0.00002745098,0.0004197518,0.0001001285,0.03678096,0.8968582,0.003465806,0.05984225,0.00008948725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3415843,0.03819417,0.4601544,0.006047351,0.003225564,0.0006073058,0.001345824,0.003183661,0.1456574],"genre_scores_gemma":[0.8055173,0.007828414,0.1643836,0.00148886,0.0005352182,0.0001968,0.0003631857,0.0001271748,0.01955947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005160265,"threshold_uncertainty_score":0.01726282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03677443022411564,"score_gpt":0.2866893495377731,"score_spread":0.2499149193136575,"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."}}