{"id":"W3025436240","doi":"10.7748/ns.31.19.30.s30","title":"Letter","year":2017,"lang":"en","type":"letter","venue":"Nursing Standard","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Library science; Psychology; World Wide Web; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003676863,0.0001387811,0.0001855733,0.00006757504,0.001566061,0.00101474,0.0006366723,0.0005060901,0.0004991751],"category_scores_gemma":[0.00009984395,0.0001326695,0.00009372544,0.00006334126,0.000959262,0.0008279145,0.00001014419,0.0006959339,0.0001168754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001829103,"about_ca_system_score_gemma":0.000848246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009833231,"about_ca_topic_score_gemma":0.00003161456,"domain_scores_codex":[0.9980986,0.0001214908,0.0001339103,0.000314446,0.0008818067,0.000449725],"domain_scores_gemma":[0.9992837,0.00004806646,0.0001662831,0.0003807186,0.00005804872,0.00006320921],"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":[0.000003417603,0.000002792599,0.00002804298,0.000004668186,0.000003054378,0.0001005735,0.001972495,3.651096e-8,0.000001583096,0.0008257535,0.9870596,0.009997968],"study_design_scores_gemma":[0.0000592633,0.00003484849,0.00002886467,0.0001917782,0.0000122996,0.000001542339,0.00009717773,3.770955e-7,0.00002899581,0.006625798,0.9927371,0.0001819438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00004407113,0.00003760589,0.00007327776,0.6845236,0.002509655,0.0001010082,0.00003690954,0.00007127622,0.3126026],"genre_scores_gemma":[0.00235043,0.00002108498,0.0004221308,0.8740538,0.02854811,0.00000524495,0.00008653523,0.00002421759,0.09448849],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2181141,"threshold_uncertainty_score":0.9997337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04501672600805777,"score_gpt":0.3564184067289788,"score_spread":0.3114016807209211,"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."}}