{"id":"W4247815707","doi":"10.1016/j.chembiol.2004.01.009","title":"Tools for Nanoscience at McGill University","year":2004,"lang":"en","type":"article","venue":"Chemistry & Biology","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nanotechnology; Biology; Engineering ethics; Engineering; Materials 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002393932,0.00004721068,0.0000546452,0.00001044032,0.00009733649,0.000001275984,0.0001856734,0.0001145733,0.00002308852],"category_scores_gemma":[0.00003844527,0.00004924871,0.00002351971,0.00009370698,0.0001087832,0.00002581376,0.00004400214,0.00006071478,0.00002644858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146547,"about_ca_system_score_gemma":0.0000132501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000198956,"about_ca_topic_score_gemma":0.000002488676,"domain_scores_codex":[0.999638,0.000001075505,0.0000389856,0.0001244162,0.00001458423,0.0001829721],"domain_scores_gemma":[0.999772,0.00002959575,0.000006802257,0.0001339925,0.00001638415,0.00004126032],"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":[0.000002586914,0.000005235236,0.00001577151,0.00001102063,0.000003677693,8.846911e-7,0.000001352703,0.00008714102,0.9973051,0.0006857558,0.0003050078,0.001576484],"study_design_scores_gemma":[0.0001714038,0.000007306527,0.00001374404,0.00000151418,0.000001386788,0.000005832435,0.000007997383,0.00005234857,0.7660203,0.001150076,0.2325203,0.00004778635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991353,0.00008550239,0.00528304,0.0007154944,0.00003191577,0.0001182244,0.0006047084,0.000264568,0.001543491],"genre_scores_gemma":[0.9979805,0.00006312425,0.001063267,0.00001490675,0.00001766242,0.00001093413,0.00003652696,0.000004496352,0.000808636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2322153,"threshold_uncertainty_score":0.2008304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607028272135531,"score_gpt":0.2280270668407715,"score_spread":0.2119567841194162,"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."}}