{"id":"W4381149400","doi":"10.1016/j.pecinn.2023.100182","title":"Evaluation of a French adaptation of a community-based advance serious illness planning decision aid","year":2023,"lang":"en","type":"article","venue":"PEC Innovation","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Athabasca University; Université du Québec à Rimouski","funders":"","keywords":"Scale (ratio); Anticipation (artificial intelligence); Psychology; Applied psychology; Adaptation (eye); 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":[],"consensus_categories":[],"category_scores_codex":[0.004973399,0.0001383045,0.0002805256,0.0009174115,0.0007823038,0.000004203782,0.0003443844,0.000188543,0.00005937634],"category_scores_gemma":[0.004448142,0.000149096,0.00003394809,0.003898521,0.00007131654,0.0002740854,0.0001347108,0.0006537946,0.00004042924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003652836,"about_ca_system_score_gemma":0.001034572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270266,"about_ca_topic_score_gemma":0.0003508297,"domain_scores_codex":[0.9941962,0.00272024,0.001484141,0.0001578443,0.001177491,0.0002640546],"domain_scores_gemma":[0.9895907,0.001848456,0.001462485,0.0009189037,0.006148536,0.00003092481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005774398,0.0004547343,0.1593526,0.003501976,0.0000747465,7.275002e-7,0.1973161,0.1848553,0.009048288,0.009071765,0.002959518,0.4327868],"study_design_scores_gemma":[0.008185937,0.0005145665,0.396362,0.003817393,0.0001243361,7.983362e-7,0.09058269,0.4593469,0.002696193,0.03073867,0.007122415,0.0005081113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822167,0.0002191252,0.0139589,0.0005530941,0.0005742936,0.001485811,0.00005782784,0.0001500434,0.0007841611],"genre_scores_gemma":[0.9925963,0.000009927401,0.005462495,0.0002781956,0.00003784053,0.000470853,0.001091968,0.00002742974,0.00002501328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4322787,"threshold_uncertainty_score":0.607996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4147243693539794,"score_gpt":0.5035801250311039,"score_spread":0.0888557556771245,"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."}}