{"id":"W4387297004","doi":"10.1177/08445621231206034","title":"Lessons Learned from Recruiting Socially Isolated Older Immigrants for a Survey-based Study in Toronto","year":2023,"lang":"en","type":"editorial","venue":"Canadian Journal of Nursing Research","topic":"Qualitative Research Methods and Ethics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Immigration; Sociology; Psychology; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1203914,0.0002683307,0.0009136605,0.001229221,0.002097269,0.000867459,0.001489792,0.001263162,0.0001395367],"category_scores_gemma":[0.1748831,0.0002836714,0.0002615781,0.001502129,0.001271164,0.0002925724,0.00002696981,0.004724761,0.000009645224],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01297901,"about_ca_system_score_gemma":0.07256975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8774402,"about_ca_topic_score_gemma":0.9910703,"domain_scores_codex":[0.9653392,0.0273772,0.0009835169,0.0005728987,0.003622607,0.002104584],"domain_scores_gemma":[0.924026,0.06693332,0.0004413065,0.0003061398,0.006792489,0.001500766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004466472,0.0001802891,0.0007242189,0.00004528922,0.0001070509,0.0002315012,0.1576812,0.000006359541,0.0000117728,0.0001516004,0.7687556,0.07165851],"study_design_scores_gemma":[0.00496681,0.002373135,0.0136224,0.01161685,0.00009499641,2.482011e-7,0.7219757,0.0001582589,0.000003575464,0.04655067,0.1976528,0.0009844855],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.01278043,0.003233869,0.0009895527,0.0397245,0.9345635,0.003567779,0.003161845,0.00004149129,0.001937091],"genre_scores_gemma":[0.1121255,0.001263252,0.002986062,0.00004426653,0.8781247,0.0001918102,0.0005027858,0.0004734756,0.004288169],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.5711027,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.682625024488511,"score_gpt":0.6690929887504876,"score_spread":0.01353203573802342,"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."}}