{"id":"W4200024931","doi":"10.3390/electrochem2040042","title":"Doped Polythiophene Chiral Electrodes as Electrochemical Biosensors","year":2021,"lang":"en","type":"article","venue":"Electrochem","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Polythiophene; Electrode; Electrochemistry; Biosensor; Materials science; Nanotechnology; Conductive polymer; Doping; Polymer; Combinatorial chemistry; Chemistry; Optoelectronics; Composite material; Physical chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001365169,0.0002355994,0.0002598878,0.00005088969,0.0002608238,0.0001228682,0.0002928839,0.0001157833,0.001566288],"category_scores_gemma":[0.0001537506,0.0002372282,0.0001245693,0.000543108,0.0000817041,0.0001005621,0.00007958052,0.0002778677,0.0006662596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008636635,"about_ca_system_score_gemma":0.0003332644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002375393,"about_ca_topic_score_gemma":0.00001300526,"domain_scores_codex":[0.99796,0.00005623354,0.0002807289,0.0006243134,0.0002853149,0.0007934512],"domain_scores_gemma":[0.9990626,0.00007336418,0.00009262799,0.0004869437,0.0001190872,0.0001653717],"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":[0.00002554514,0.00008825769,0.00001686599,0.00000594546,0.00001355325,0.000009685125,0.00007971192,1.902538e-7,0.9934502,0.004920537,0.0009330663,0.0004564066],"study_design_scores_gemma":[0.0002642476,0.00007653154,0.00003099687,0.000007385685,0.00002630194,0.0002307145,0.00005706455,0.000006902111,0.9902812,0.003441076,0.005288581,0.0002889469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873168,0.001298731,0.0003344612,0.002423815,0.000102888,0.0001075799,0.00000333874,0.0002675763,0.008144753],"genre_scores_gemma":[0.9889392,0.00005949212,0.00203336,0.0008460584,0.0003904636,0.00004737016,0.00004248668,0.00003759341,0.007603977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004355515,"threshold_uncertainty_score":0.9993464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008611289198137162,"score_gpt":0.2489025935106101,"score_spread":0.2402913043124729,"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."}}