{"id":"W1974440523","doi":"10.1039/c4sc00312h","title":"Mapping electrogenerated chemiluminescence reactivity in space: mechanistic insight into model systems used in immunoassays","year":2014,"lang":"en","type":"article","venue":"Chemical Science","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":261,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Chemiluminescence; Reactivity (psychology); Space (punctuation); Chemistry; Combinatorial chemistry; Nanotechnology; Computer science; Materials science; Chromatography; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007327546,0.000175429,0.0002297419,0.0001348689,0.00006747719,0.00003246721,0.0003702731,0.0001631514,1.968471e-7],"category_scores_gemma":[0.0004857825,0.0001569027,0.00004243632,0.001004333,0.00029733,0.00001522443,0.0001643905,0.0001748978,9.80442e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545282,"about_ca_system_score_gemma":0.0001183117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009118726,"about_ca_topic_score_gemma":0.00002695237,"domain_scores_codex":[0.9984009,0.00004005169,0.0002585832,0.000640161,0.0002441708,0.0004160876],"domain_scores_gemma":[0.9993209,0.00001789492,0.00009144806,0.0003806545,0.0001002316,0.00008881705],"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":[0.00001444578,0.00004839008,0.0005201229,0.00001090341,0.000001902748,0.000001430761,0.00003639725,0.0001100941,0.9987064,0.0002116863,0.000006216788,0.0003320124],"study_design_scores_gemma":[0.0001609594,0.00002415894,0.00005644002,0.00004255854,0.00000220379,0.000006151716,0.00001910248,0.08388091,0.9151828,0.0003414713,0.00008048736,0.0002027565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823121,0.00008229959,0.01691604,0.00006391839,0.00002733668,0.00011738,9.94422e-7,0.00003112971,0.0004488331],"genre_scores_gemma":[0.9954357,0.00003323815,0.004373054,0.0000456386,0.00004220536,0.00001619081,0.00001769458,0.00001029754,0.00002599217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08377081,"threshold_uncertainty_score":0.6398306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009600360342039007,"score_gpt":0.25197396576999,"score_spread":0.242373605427951,"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."}}