{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001711403,0.0004726113,0.0005618516,0.0004676921,0.005238248,0.003818232,0.001063567,0.02104668,0.04034785],"category_scores_gemma":[0.01642956,0.0004567653,0.0005825059,0.0003843697,0.001691921,0.002650406,0.001245858,0.01691847,0.02981367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003014491,"about_ca_system_score_gemma":0.007546941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259105,"about_ca_topic_score_gemma":0.02284219,"domain_scores_codex":[0.9984708,0.0003201877,0.00009789997,0.0001931008,0.0005880433,0.00032984],"domain_scores_gemma":[0.9972205,0.0008026186,0.0001238189,0.00009298236,0.001017502,0.0007425448],"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":[0.00001081239,0.000009847568,0.0001899792,0.000005182316,0.000001018054,0.0002548142,0.00006219796,0.000008513659,0.00002083844,0.000893444,0.9961669,0.002376436],"study_design_scores_gemma":[0.00001670426,0.00002088869,0.0005816799,0.00009374028,0.000003937038,0.0006828755,0.000736184,0.00009533486,0.0001052002,0.002643961,0.9950019,0.0000175622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001169092,0.0009464516,0.00009163273,0.9022012,0.03033585,0.00003534118,0.0001794782,0.0001192776,0.06492161],"genre_scores_gemma":[0.008186662,0.0005866754,0.0001100525,0.8266025,0.01056838,0.00006446285,0.0001029284,0.00007792934,0.1537004],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9596521,"threshold_uncertainty_score":0,"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."}}