{"id":"W4398545264","doi":"10.7910/dvn/azvm5x","title":"TTalk: Vernon","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","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":["insufficient_payload"],"category_scores_codex":[0.003487456,0.002003543,0.001407324,0.004678479,0.001215893,0.004710415,0.002543875,0.001859756,0.3028689],"category_scores_gemma":[0.02115987,0.0007363594,0.001295761,0.004358726,0.0006275295,0.003263425,0.004623934,0.002319178,0.4685536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054038,"about_ca_system_score_gemma":0.002125308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046891,"about_ca_topic_score_gemma":0.02777407,"domain_scores_codex":[0.9978527,0.0005111839,0.0002140643,0.0006051644,0.0005413439,0.0002755729],"domain_scores_gemma":[0.9918392,0.002192842,0.0003953182,0.002697346,0.001561034,0.001314271],"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":[0.00001834256,0.000005372791,0.0001360857,0.00005807891,0.000003310996,0.000005420361,0.000008840014,0.00002054738,0.00002727774,0.0001293696,0.9980707,0.00151676],"study_design_scores_gemma":[0.00006996517,0.000009848436,0.0008507249,0.0001428609,0.000006400505,0.00002834791,0.00007280515,0.0003705835,0.0001980046,0.000920303,0.9973157,0.00001439707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002664067,0.0002380909,0.0005415612,0.001218287,0.0007125707,0.00005288484,0.9844846,0.006442217,0.00604331],"genre_scores_gemma":[0.0009667524,0.0001498771,0.0009449198,0.0004331376,0.0001068282,0.0001593775,0.9864658,0.001573714,0.009199725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6971312,"threshold_uncertainty_score":0.994373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953000085846119,"score_gpt":0.2911417115881246,"score_spread":0.2716117107296634,"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."}}