{"id":"W203690341","doi":"10.1007/978-3-642-40017-9_9","title":"Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond “Black-Box” Predictions","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Frailty in Older Adults","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Machine learning; Health care; Artificial intelligence; Computer science; Black box; Resource (disambiguation); Resistance (ecology); Plan (archaeology); Rehabilitation; Perception; Data science; Knowledge management; Medicine; 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":[0.0007313953,0.0007957815,0.0005859701,0.0004459723,0.0002204119,0.001855515,0.001054337,0.0007260193,0.006571169],"category_scores_gemma":[0.002793835,0.0002968484,0.00051216,0.0005268036,0.0004264395,0.002523335,0.0005453039,0.002044731,0.002280614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000605209,"about_ca_system_score_gemma":0.0008188377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00402793,"about_ca_topic_score_gemma":0.005891884,"domain_scores_codex":[0.9998055,0.00006071348,0.00001180352,0.00004060827,0.00007054771,0.00001084843],"domain_scores_gemma":[0.9987583,0.001040847,0.00003403182,0.00006014371,0.00008458956,0.00002207387],"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":[0.00006188891,0.0001445554,0.00207973,0.0003234174,0.0001008757,0.0001070383,0.0001605852,0.04591441,0.0006705276,0.04853456,0.07034659,0.8315557],"study_design_scores_gemma":[0.00004289831,0.0001312507,0.002845754,0.001187807,0.0001090826,0.0002874419,0.000242162,0.4612688,0.002580096,0.3838906,0.1473108,0.0001032565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01816289,0.0391805,0.7606799,0.02272178,0.002069878,0.0001113247,0.001190726,0.004089285,0.1517937],"genre_scores_gemma":[0.2954939,0.05271242,0.5423251,0.004589674,0.002011806,0.0002163194,0.002352618,0.0007695477,0.09952874],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006571169,"threshold_uncertainty_score":0.02198279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05372047603595827,"score_gpt":0.2862023989486295,"score_spread":0.2324819229126712,"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."}}