{"id":"W2022725235","doi":"10.1177/108482230001200607","title":"Data Mining Techniques for Patient Satisfaction Data in Home Care Settings","year":2000,"lang":"en","type":"article","venue":"Home Health Care Management & Practice","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Segmentation; Patient satisfaction; Quarter (Canadian coin); Patient care; Interpretation (philosophy); Medicine; Psychology; Nursing; Computer science; Data mining; Artificial intelligence; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01257438,0.001319351,0.002122668,0.0127771,0.001144121,0.002758153,0.001386929,0.001238051,0.001128005],"category_scores_gemma":[0.04130197,0.0005609686,0.001903762,0.01321605,0.0005897412,0.001844657,0.001476863,0.001896386,0.0008037071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000984346,"about_ca_system_score_gemma":0.001438991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004078024,"about_ca_topic_score_gemma":0.00453371,"domain_scores_codex":[0.9895386,0.004056279,0.002627277,0.001503163,0.001937216,0.000337575],"domain_scores_gemma":[0.9563681,0.03298679,0.003933582,0.00300977,0.003211522,0.0004901774],"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":[0.001067036,0.00142632,0.2347966,0.002131013,0.00131199,0.001303423,0.002329749,0.02909243,0.008482081,0.004339902,0.01402471,0.6996948],"study_design_scores_gemma":[0.0003496721,0.001307469,0.2531043,0.0007239173,0.0005597885,0.003013329,0.006462791,0.653308,0.01932319,0.03672272,0.02474216,0.0003825868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2826723,0.001633909,0.6642992,0.002442459,0.0001932525,0.003298728,0.03383793,0.00918356,0.0024387],"genre_scores_gemma":[0.3683793,0.0003950052,0.6003209,0.0002308056,0.0001138166,0.003311646,0.02668629,0.0001420508,0.000420199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0127771,"threshold_uncertainty_score":0.06650043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0884735026293879,"score_gpt":0.4603273420675255,"score_spread":0.3718538394381376,"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."}}