{"id":"W2018914054","doi":"10.1515/pac-2013-1027","title":"Immunodiagnostics and immunosensor design (IUPAC Technical Report)","year":2014,"lang":"en","type":"article","venue":"Pure and Applied Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Chemistry; Nanotechnology; Biochemical engineering; Data science; Computer science; Engineering","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":[0.002257692,0.001309833,0.00063183,0.002144796,0.0004735931,0.001346684,0.00148622,0.001005814,0.00611021],"category_scores_gemma":[0.001247782,0.0008041671,0.0004474751,0.001439056,0.0006599642,0.0008551002,0.0008659087,0.001149821,0.008200469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008088159,"about_ca_system_score_gemma":0.001331798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004422887,"about_ca_topic_score_gemma":0.0003593399,"domain_scores_codex":[0.9980247,0.0003844525,0.0001538139,0.0002605744,0.001019151,0.0001573606],"domain_scores_gemma":[0.9994479,0.00009809282,0.00006488822,0.00006594553,0.0002780011,0.0000451827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002153442,0.0001583597,0.0006423583,0.001410367,0.00004430362,0.0004420955,0.0001701759,0.001859266,0.6487634,0.02681174,0.024359,0.2951237],"study_design_scores_gemma":[0.00002537079,0.0002748643,0.0007707893,0.0001246824,0.00003183934,0.001029374,0.00003585069,0.003078041,0.6745883,0.003387311,0.3166178,0.00003591715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01700682,0.0401642,0.8795482,0.00175371,0.003536785,0.001258594,0.001601639,0.002525588,0.05260456],"genre_scores_gemma":[0.1129533,0.03573795,0.7685479,0.001553023,0.0007677606,0.003306823,0.004959539,0.0004166884,0.07175701],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00611021,"threshold_uncertainty_score":0.0204407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004628398122445009,"score_gpt":0.1873765221046604,"score_spread":0.1827481239822154,"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."}}