{"id":"W4412323336","doi":"","title":"Rational design of genosensors and aptasensors for cancer diagnosis","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"iNano Medical (Canada)","funders":"","keywords":"Computer science; Medicine","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":[0.0007927828,0.0009831215,0.0008641293,0.0004601712,0.000256237,0.0008384786,0.0007360444,0.0007689763,0.001065727],"category_scores_gemma":[0.0007469264,0.0005900243,0.0005595256,0.0003626926,0.00042175,0.0006264251,0.0005478742,0.001055366,0.000734252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008284525,"about_ca_system_score_gemma":0.0008014747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005617292,"about_ca_topic_score_gemma":0.002362906,"domain_scores_codex":[0.9996045,0.00008145161,0.00003116146,0.00009363193,0.000110897,0.00007831108],"domain_scores_gemma":[0.9998245,0.00004645125,0.00003829826,0.00001380142,0.00004715391,0.00002986637],"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":[0.0002530296,0.0002017261,0.0004300138,0.0004124111,0.00006142097,0.000304401,0.00005976311,0.01440867,0.957235,0.004748584,0.0004178993,0.02146724],"study_design_scores_gemma":[0.00005923374,0.0005367741,0.0002374668,0.00002449229,0.00004411245,0.0002168679,0.00004658906,0.01686071,0.9709958,0.001171104,0.00977922,0.00002759352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5236471,0.01210964,0.4475877,0.00136921,0.0003665093,0.001554588,0.0009854939,0.00175315,0.01062674],"genre_scores_gemma":[0.7576897,0.007418415,0.2290886,0.0005262941,0.00003362958,0.0004705575,0.0005483673,0.0001022752,0.004122114],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001065727,"threshold_uncertainty_score":0.00601095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04509300280550473,"score_gpt":0.3195159713509196,"score_spread":0.2744229685454149,"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."}}