{"id":"W2769825685","doi":"10.1021/acs.analchem.7b04751","title":"Polymer-Based Technologies for Sensing Applications","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Polymer; Nanotechnology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0009292703,0.001070705,0.0005854275,0.001718424,0.0007103172,0.001977636,0.0009926533,0.001646816,0.2263356],"category_scores_gemma":[0.001444644,0.0005676789,0.000645128,0.001325853,0.0003741386,0.003095154,0.001718108,0.002773941,0.1821516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008160092,"about_ca_system_score_gemma":0.0006841159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004010687,"about_ca_topic_score_gemma":0.001055103,"domain_scores_codex":[0.9989091,0.00009674558,0.00005125697,0.0001446166,0.0006748595,0.0001234839],"domain_scores_gemma":[0.99938,0.0001158401,0.00007009086,0.00009615195,0.0002280789,0.0001099672],"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":[0.0001258432,0.0001637578,0.0004705794,0.001516399,0.00003723315,0.0002274861,0.0001141389,0.0002402636,0.1087141,0.01902309,0.432277,0.4370902],"study_design_scores_gemma":[0.00001241669,0.00008883142,0.0003209524,0.0001392366,0.00001134474,0.0002091411,0.00003488512,0.0003106405,0.02954143,0.002673079,0.966639,0.00001905086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01199279,0.08270178,0.06276455,0.01605345,0.02099728,0.001116701,0.01394136,0.009779344,0.7806528],"genre_scores_gemma":[0.06270291,0.07632195,0.05714538,0.006008931,0.003627983,0.0007234766,0.01132573,0.002053729,0.7800899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2263356,"threshold_uncertainty_score":0.7571679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059535872936171,"score_gpt":0.2796121657750102,"score_spread":0.2590168070456485,"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."}}