{"id":"W4386699550","doi":"10.1155/2023/4120204","title":"Examining Predictors of Intention to Leave in Home Care and Differences among Types of Providers","year":2023,"lang":"en","type":"article","venue":"Journal of Nursing Management","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Salary; Burnout; Thematic analysis; Descriptive statistics; Nursing; Agency (philosophy); Psychology; Job satisfaction; Health care; Medicine; Family medicine; Social psychology; Clinical psychology; Qualitative research","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004340696,0.00007327379,0.0002753655,0.0007130723,0.00005788048,0.000006128528,0.00009229085,0.00004912035,0.000008934731],"category_scores_gemma":[0.00005234555,0.00006100454,0.00003975748,0.000355052,0.00005145537,0.00009271795,0.00004183758,0.0001515464,0.00000115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324142,"about_ca_system_score_gemma":0.00002859665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005140997,"about_ca_topic_score_gemma":0.00003345307,"domain_scores_codex":[0.998828,0.0001129315,0.0005411913,0.00009516005,0.000247958,0.0001747601],"domain_scores_gemma":[0.9992387,0.00009493266,0.000392186,0.00008274876,0.0001372409,0.00005417487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000209708,0.00007039823,0.8568819,0.001331029,0.00008614045,0.00001606714,0.07649767,0.00009865381,0.0002575547,0.00009864113,0.003253538,0.06119872],"study_design_scores_gemma":[0.0004528739,0.0004377445,0.8678589,0.004193708,0.00007897619,7.621671e-7,0.1265591,0.000024079,0.00003590002,0.0002377304,0.00007230617,0.0000478625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966456,0.0002799481,0.0001046844,0.0002774176,0.001314747,0.0002775019,0.000001851602,0.0000104966,0.001087792],"genre_scores_gemma":[0.9992676,0.000171004,0.0002644134,0.000007486773,0.00005452049,0.000003016541,0.000001569119,0.00000839362,0.0002220067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06115086,"threshold_uncertainty_score":0.2487693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06492835787854177,"score_gpt":0.3679475823626246,"score_spread":0.3030192244840829,"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."}}