{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001874965,0.0003567233,0.0003927299,0.0002027147,0.0001207393,0.0002347709,0.0005471417,0.0003332306,0.02913997],"category_scores_gemma":[0.000127464,0.0003700842,0.0001454514,0.0001414246,0.00006454184,0.0004651159,0.0001564809,0.0004002074,0.4215266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000250726,"about_ca_system_score_gemma":0.00003901325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006615789,"about_ca_topic_score_gemma":0.00007005224,"domain_scores_codex":[0.9980729,0.00009940786,0.0003400649,0.0006000775,0.0004942492,0.0003933435],"domain_scores_gemma":[0.9979532,0.0001196473,0.0002708688,0.001487574,0.00005206918,0.0001166766],"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":[0.0001537706,0.0001528219,0.00002301246,0.0002033301,0.00003538824,0.00002328742,0.0000246535,0.00000652767,0.0000428467,0.000004423022,0.9982677,0.001062279],"study_design_scores_gemma":[0.00073517,0.0001854205,0.000117177,0.0003345815,0.0002817247,0.000009893784,0.00004311901,0.00001232196,0.0002027973,0.00002543256,0.9976332,0.0004192263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007995716,0.000003515681,0.000003914527,0.00003649881,0.01005017,0.0004212089,0.9889785,0.00006202672,0.000364181],"genre_scores_gemma":[0.00003374953,0.000112984,0.0001070022,0.001379533,0.000605348,0.00002194905,0.997296,0.00004255942,0.0004008789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3923866,"threshold_uncertainty_score":0.9998751,"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."}}