{"id":"W4398963774","doi":"10.7910/dvn/ydbnzl/bxc09e","title":"manifest.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; XML; Nursing; World Wide Web; Database; Medicine","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":["insufficient_payload"],"category_scores_codex":[0.0002037542,0.0003732347,0.0004004375,0.0002208208,0.0001282837,0.0002558345,0.0005841583,0.0003363725,0.03389552],"category_scores_gemma":[0.0001209585,0.000385849,0.0001438106,0.0001374648,0.00006352261,0.0004579968,0.000159778,0.0004162207,0.464169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215319,"about_ca_system_score_gemma":0.00003790402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005856859,"about_ca_topic_score_gemma":0.00007847733,"domain_scores_codex":[0.9980025,0.0001076075,0.0003662049,0.000633921,0.00047713,0.0004126391],"domain_scores_gemma":[0.9978443,0.0001261305,0.0002828139,0.001567489,0.00005551161,0.0001237614],"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":[0.0001182708,0.000158351,0.00002851778,0.0002001995,0.00003614714,0.00004097277,0.00002242545,0.000005566689,0.00002855585,0.000009759364,0.9986432,0.0007080244],"study_design_scores_gemma":[0.0006648918,0.0001752355,0.0001450972,0.0002922282,0.0003038706,0.00002091767,0.00004845562,0.00001059802,0.0001482744,0.00003584701,0.9977156,0.0004389664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006982974,0.000002664307,0.000004041398,0.00004564057,0.009740807,0.0004530062,0.9892064,0.00006776939,0.0004097924],"genre_scores_gemma":[0.00003194906,0.0001045696,0.0001495566,0.00173203,0.0006747348,0.00002526763,0.9967667,0.00004523847,0.0004699805],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4302735,"threshold_uncertainty_score":0.9998593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063398428665363,"score_gpt":0.2908775017303198,"score_spread":0.2702435174436661,"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."}}