{"id":"W2285078566","doi":"10.1149/ma2015-01/40/2103","title":"Rapid Prototyping of Electrochemical DNA Detection Sensors","year":2015,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Nanotechnology; Rapid prototyping; Biosensor; Substrate (aquarium); Polymer substrate; Computer science; Layer (electronics)","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":[0.0008909629,0.0009675182,0.0007020637,0.0006573939,0.0002217553,0.0007007184,0.001686503,0.0008723264,0.002027913],"category_scores_gemma":[0.00162863,0.0007000386,0.0005377608,0.0002807726,0.000286413,0.0007536738,0.0006386507,0.0009901673,0.001090153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002375227,"about_ca_system_score_gemma":0.0001899248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102367,"about_ca_topic_score_gemma":0.0001340475,"domain_scores_codex":[0.9983006,0.0002035647,0.0001166386,0.0002286357,0.001028646,0.0001219105],"domain_scores_gemma":[0.9988289,0.0004947658,0.0002024115,0.0001336726,0.0002471599,0.00009302909],"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":[0.00006043857,0.00005370256,0.0001360435,0.0003095684,0.00001819939,0.0003189237,0.00005613587,0.001989968,0.9710063,0.0006216789,0.0004949945,0.02493405],"study_design_scores_gemma":[0.00002315706,0.0003882689,0.000770328,0.00002572135,0.00001682126,0.0005665587,0.00002205315,0.009088545,0.9775605,0.0002395127,0.01124918,0.00004934457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2880844,0.009023229,0.681003,0.000578683,0.00118297,0.00156355,0.001061283,0.004734268,0.01276875],"genre_scores_gemma":[0.4186268,0.004128298,0.5663785,0.0002641602,0.0001609102,0.001309417,0.0005647955,0.00021769,0.008349538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002027913,"threshold_uncertainty_score":0.006784022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491304075125455,"score_gpt":0.2617433629378793,"score_spread":0.2468303221866248,"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."}}