{"id":"W34813293","doi":"10.1021/acsnano.1c03935","title":"Representation from the trenches: ongoing monitoring for implementing the BWC","year":2007,"lang":"en","type":"article","venue":"ACS Nano","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Representation (politics); Computer science; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002015954,0.00006980573,0.0001104274,0.00004746804,0.0003618884,0.00003168313,0.0001848366,0.0000301318,0.0000301969],"category_scores_gemma":[0.0009651635,0.00003449126,0.00005560655,0.0003455707,0.00008639353,0.00007404974,0.0000551937,0.0001227525,0.000008392331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004504859,"about_ca_system_score_gemma":0.00006491248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007552358,"about_ca_topic_score_gemma":0.0001116993,"domain_scores_codex":[0.9987541,0.00002479034,0.0002066031,0.0001907418,0.0004361363,0.0003876094],"domain_scores_gemma":[0.9981787,0.00124249,0.00006422074,0.0003352705,0.0001030664,0.00007627576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001319846,0.00004237535,0.3580112,0.00002131144,0.00007024923,0.00001353987,0.01278497,0.000001107845,0.3178617,0.0002277457,0.005942786,0.304891],"study_design_scores_gemma":[0.002405965,0.0002080681,0.5102987,0.000204966,0.0001288983,0.00001557446,0.04014513,0.0001202163,0.3860795,0.0004183975,0.05986582,0.0001087427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913509,0.0005143541,0.001242292,0.003342519,0.0003847994,0.000513971,0.000002974597,0.00002806194,0.002620157],"genre_scores_gemma":[0.9958629,0.0000789496,0.000654807,0.0004240256,0.001815507,0.00002894367,0.00001459407,0.000009183988,0.001111117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3047822,"threshold_uncertainty_score":0.278339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141158588791082,"score_gpt":0.4281188907674136,"score_spread":0.3140030318883054,"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."}}