{"id":"W1978419983","doi":"10.1155/2012/748913","title":"Challenges and Opportunities for Small Molecule Aptamer Development","year":2012,"lang":"en","type":"article","venue":"Journal of Nucleic Acids","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":463,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Small molecule; Molecular recognition; Oligonucleotide; Nanotechnology; Biosensor; Computational biology; Computer science; Data science; Biology; Chemistry; Molecule; Materials science; Gene; Molecular biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003455895,0.0000984201,0.0001495831,0.00005365047,0.00004595389,0.00000904952,0.00007571124,0.00008408807,6.599503e-7],"category_scores_gemma":[0.00004078653,0.00007577455,0.00007675968,0.0000137855,0.00005352294,0.000007248238,0.00004437968,0.00005278377,1.967623e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009758401,"about_ca_system_score_gemma":0.00003225822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.079515e-7,"about_ca_topic_score_gemma":0.000001180433,"domain_scores_codex":[0.9994393,0.00002264385,0.0002179756,0.00008381926,0.00007552888,0.0001607516],"domain_scores_gemma":[0.9994994,0.000009219192,0.0001694798,0.00009218556,0.0001303906,0.00009936234],"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":[0.0001577252,0.0001592448,0.0003438025,0.00005012738,0.0002940111,0.000005779445,0.0003558145,3.73225e-7,0.5832562,0.0003575728,0.001413086,0.4136062],"study_design_scores_gemma":[0.0003535413,0.0004157566,0.001739492,0.00003907739,0.00007009938,0.0001895521,0.0008268891,0.000004959455,0.6780711,0.00007787001,0.318014,0.0001976939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822351,0.0103971,0.005571565,0.0007125997,0.00008812853,0.00006640944,0.000002216399,0.000008845537,0.0009180474],"genre_scores_gemma":[0.9570708,0.004580956,0.03755465,0.0002760678,0.0002813032,0.00000189867,0.000004230474,0.00001369297,0.000216358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4134085,"threshold_uncertainty_score":0.3089997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07282919437216454,"score_gpt":0.2906679314188024,"score_spread":0.2178387370466379,"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."}}