{"id":"W4403087905","doi":"10.1016/b978-0-443-15978-7.00090-4","title":"Fundamentals and applications of needle trap devices","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Trap (plumbing); Computer science; Materials science; Physics; Meteorology","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":[0.0002840431,0.0007999136,0.0006401264,0.001266008,0.0005690511,0.002036116,0.001457201,0.001233209,0.03750712],"category_scores_gemma":[0.0003391498,0.0005960097,0.0004011425,0.001306252,0.0006747806,0.002032696,0.001104836,0.001724414,0.02046676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000646385,"about_ca_system_score_gemma":0.000517881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005001094,"about_ca_topic_score_gemma":0.001123386,"domain_scores_codex":[0.9996617,0.0000153188,0.000009906979,0.00004772819,0.0002437184,0.00002167837],"domain_scores_gemma":[0.9998728,0.00005087284,0.000006891893,0.000014883,0.00004406529,0.00001043863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005838026,0.00007897365,0.0001582188,0.00132921,0.00001617217,0.000257108,0.0004194261,0.00145046,0.07592203,0.1742778,0.09751689,0.6485154],"study_design_scores_gemma":[0.000004463235,0.00004355446,0.0001995239,0.0002185521,0.000005905303,0.0006312493,0.00006271579,0.002048658,0.009928905,0.02432056,0.962518,0.00001778799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00322964,0.194068,0.1541436,0.001611919,0.003175987,0.0001340156,0.0004736475,0.001459071,0.6417041],"genre_scores_gemma":[0.02318249,0.1167342,0.08219527,0.0009470113,0.0007677042,0.0001574119,0.0004691754,0.0004258353,0.775121],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03750712,"threshold_uncertainty_score":0.1254738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238428734614578,"score_gpt":0.2832426205029477,"score_spread":0.2593997470414899,"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."}}