{"id":"W2082511638","doi":"10.1007/s11705-014-1432-z","title":"Information gathering and processing with fluorescent molecules","year":2014,"lang":"en","type":"article","venue":"Frontiers of Chemical Science and Engineering","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Keypad; Blueprint; Emulation; Computer science; Field (mathematics); And-inverter graph; Theoretical computer science; Boolean expression; Boolean function; Engineering; Algorithm; Mathematics; Computer hardware; Psychology","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":[0.00007519499,0.00005269827,0.00006335053,0.00003658294,0.00002951517,0.00004247274,0.00004691751,0.0000239885,0.000001061892],"category_scores_gemma":[0.0000566352,0.00004329036,0.000006039664,0.00009368356,0.00008953259,0.0002605815,0.00002178288,0.00004598345,7.801619e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001430083,"about_ca_system_score_gemma":0.000008248719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002982949,"about_ca_topic_score_gemma":2.884557e-8,"domain_scores_codex":[0.9995987,5.582447e-7,0.00007235621,0.00007055846,0.0001535518,0.0001042758],"domain_scores_gemma":[0.9998248,0.000002589057,0.00002671135,0.00004773148,0.00003954837,0.00005859339],"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":[0.000005774054,0.000001960024,0.0002063043,0.00008128289,0.000001539595,8.018976e-8,0.000129084,0.0002098371,0.9663879,0.00003007875,0.00001104547,0.03293511],"study_design_scores_gemma":[0.0001066327,0.000008617013,0.0001426301,0.00004462589,0.000003661326,0.000005391711,0.00006997395,0.1838267,0.814778,0.000007885375,0.0009402872,0.00006557396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684204,0.0001137381,0.03101485,0.00001934667,0.00001377884,0.00001353574,2.357358e-7,0.00002173771,0.000382374],"genre_scores_gemma":[0.9916329,0.000009145166,0.008330563,0.000008309755,0.00001230202,0.000001443183,4.842374e-7,0.000003055956,0.000001802811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1836168,"threshold_uncertainty_score":0.176533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001553113219944935,"score_gpt":0.1484589923881333,"score_spread":0.1469058791681884,"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."}}