{"id":"W3142918381","doi":"10.1109/parelec.2011.7","title":"International Program Committee","year":2011,"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":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005666092,0.001110975,0.000817576,0.003229903,0.002652581,0.007142305,0.002381901,0.002861883,0.5512592],"category_scores_gemma":[0.00976322,0.0005596746,0.0008897024,0.002979721,0.0007671129,0.003574748,0.00394617,0.002456633,0.4367491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003087285,"about_ca_system_score_gemma":0.01026211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00562105,"about_ca_topic_score_gemma":0.007089709,"domain_scores_codex":[0.9964333,0.0004634142,0.0001952392,0.0005599511,0.001675778,0.0006722304],"domain_scores_gemma":[0.9903123,0.0005343796,0.000264994,0.00107287,0.005572629,0.002242726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003868053,0.00003855344,0.0002345839,0.00009017084,0.000003371253,0.00003287649,0.00006197121,0.00005535802,0.0002282483,0.01208593,0.8990416,0.08808872],"study_design_scores_gemma":[0.000003343428,0.000009496568,0.0002469341,0.00004512819,0.000001213041,0.00003113731,0.00003567772,0.00002219345,0.00006419008,0.0006677709,0.9988706,0.000002284103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001187054,0.00400876,0.006839624,0.01824985,0.01535856,0.000960661,0.006979351,0.002421416,0.9439947],"genre_scores_gemma":[0.002947809,0.002365199,0.002761437,0.002815143,0.001458395,0.0004247678,0.0049049,0.0006154752,0.9817069],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4487408,"threshold_uncertainty_score":0.6400743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989439516324996,"score_gpt":0.2937361760490381,"score_spread":0.2738417808857881,"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."}}