{"id":"W7140154386","doi":"","title":"Understanding and Preventing Vicarious Trauma","year":2023,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada","keywords":"Reflection (computer programming); Health care; Patient care; Information sharing; Key (lock)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006118726,0.0006744508,0.000575322,0.001801128,0.005508835,0.008434474,0.002822163,0.004067404,0.07438733],"category_scores_gemma":[0.02709715,0.0006669346,0.001089573,0.000784777,0.004826848,0.01173857,0.01946242,0.007028109,0.03798563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003035662,"about_ca_system_score_gemma":0.0126306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003733875,"about_ca_topic_score_gemma":0.01215032,"domain_scores_codex":[0.993873,0.002976632,0.0002635228,0.0003187674,0.001902897,0.0006652294],"domain_scores_gemma":[0.9881155,0.004339314,0.0006375194,0.001152572,0.002454467,0.0033006],"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":[0.00002360872,0.0001528148,0.0007546311,0.0009046407,0.000009193732,0.0003841353,0.0291567,0.0002527698,0.0003567679,0.04146773,0.7092699,0.2172671],"study_design_scores_gemma":[0.00001097532,0.00002099928,0.0006565929,0.001560922,0.00000818876,0.0006847247,0.01396571,0.0001632192,0.0002949624,0.03329267,0.9493122,0.00002895034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009062098,0.006355954,0.0509849,0.0840793,0.004447657,0.0007372821,0.0006799277,0.00538107,0.8382719],"genre_scores_gemma":[0.1222662,0.02207204,0.183014,0.03342675,0.001017205,0.003438776,0.002536156,0.005827427,0.6264015],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07438733,"threshold_uncertainty_score":0.2488505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2207626958189271,"score_gpt":0.3586610100186056,"score_spread":0.1378983141996785,"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."}}