{"id":"W4377224448","doi":"10.1136/spcare-2023-acp.134","title":"EP01.007 Co-developing advance care planning resources: a public engagement approach for Hindi speaking communities in BC","year":2023,"lang":"en","type":"article","venue":"","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hospice Palliative Care Association","funders":"","keywords":"Hindi; Advance care planning; Community engagement; Readability; Focus group; Vocabulary; Public relations; Health care; Inclusion (mineral); Reading (process); Medical education; Palliative care; Psychology; Sociology; Medicine; Political science; Nursing; Computer science; Linguistics; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.005162549,0.0002005791,0.0001598429,0.0005072666,0.005442965,0.006150383,0.001499744,0.002052744,0.103356],"category_scores_gemma":[0.008758853,0.0002312997,0.000225956,0.0006966484,0.001640822,0.001810383,0.007306686,0.002553697,0.01695783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00636728,"about_ca_system_score_gemma":0.0245775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02762693,"about_ca_topic_score_gemma":0.0610976,"domain_scores_codex":[0.9965646,0.001884612,0.00006950602,0.0001739898,0.0005655961,0.0007416931],"domain_scores_gemma":[0.9898317,0.002063493,0.0003355839,0.0003811301,0.001936375,0.005451745],"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":[0.0001753811,0.001001737,0.008431226,0.0009621488,0.00001618811,0.00172278,0.03793173,0.0002169251,0.001900819,0.01864355,0.4764464,0.4525512],"study_design_scores_gemma":[0.00005932898,0.0002111551,0.01287534,0.0008608621,0.000009068628,0.0006351624,0.04089909,0.0003202379,0.0006345457,0.003916561,0.9395561,0.00002259054],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0878804,0.001506351,0.007278791,0.116338,0.002410976,0.002067893,0.0009995966,0.0004661016,0.7810519],"genre_scores_gemma":[0.4192821,0.002590647,0.02704636,0.03010243,0.0005284065,0.002929877,0.001080176,0.000501567,0.5159385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9723731,"threshold_uncertainty_score":0.3457602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3844040711849522,"score_gpt":0.4675751559727494,"score_spread":0.08317108478779722,"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."}}