{"id":"W4239747056","doi":"10.1109/tnb.2020.3043557","title":"IEEE Transactions on NanoBioscience publication information","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on NanoBioscience","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association; Western University; McGill University","funders":"","keywords":"Computer science; Data science; World Wide Web; Information retrieval","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001826726,0.0002994704,0.0002152075,0.0003747004,0.0006024403,0.0002571599,0.0005732725,0.0001488497,0.0002321551],"category_scores_gemma":[0.000007989822,0.000300675,0.0001387989,0.002220443,0.0001898056,0.001666961,5.677485e-7,0.0002404704,0.001038639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196944,"about_ca_system_score_gemma":0.00009130665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002346925,"about_ca_topic_score_gemma":0.00001159515,"domain_scores_codex":[0.9981045,0.00003404604,0.0005121845,0.0004231123,0.0004658287,0.0004603568],"domain_scores_gemma":[0.9989355,0.00006613064,0.00008971028,0.0004561442,0.0001413569,0.0003111627],"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":[0.00004150633,0.0002029172,0.000002604784,0.00007027596,0.00002245501,8.948792e-7,0.001038194,0.08017091,0.8772542,0.0003267244,0.001894353,0.0389749],"study_design_scores_gemma":[0.0003726405,0.0002199457,0.00009307847,0.00002664572,0.0000261683,0.000008025493,0.0000918732,0.03629205,0.9541025,0.00003578859,0.008317953,0.0004133763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05194398,0.000009480777,0.9425781,0.001362274,0.001336518,0.0005495658,0.0002600213,0.0009023114,0.001057699],"genre_scores_gemma":[0.9967923,0.0001181988,0.001114824,0.001561861,0.00003307325,0.0002574226,0.000006937104,0.0000254622,0.00008995831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9448483,"threshold_uncertainty_score":0.9999445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376692150817184,"score_gpt":0.2022289112533801,"score_spread":0.1884619897452082,"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."}}