{"id":"W7047519015","doi":"","title":"HARNESSING DATA SCIENCE IN HOMECARE TO ANTICIPATE CARE FOR “PERSONS WITH AMYOTROPHIC LATERAL SCLEROSIS” (PALS)","year":2024,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Informatics; Logistic regression; Health informatics; Health care; Service (business); Health records; Disease; Palliative care","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":[0.03165766,0.0003591558,0.000512079,0.00772123,0.001661842,0.007394498,0.001546777,0.001335007,0.001472655],"category_scores_gemma":[0.1146107,0.0003617433,0.001090181,0.009519769,0.00329454,0.004854422,0.005028433,0.00231767,0.0003352156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004543743,"about_ca_system_score_gemma":0.01058187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02599194,"about_ca_topic_score_gemma":0.04563001,"domain_scores_codex":[0.9772716,0.01614062,0.001632724,0.001469847,0.003041379,0.0004438141],"domain_scores_gemma":[0.8140761,0.1529466,0.009522451,0.009062946,0.01247114,0.001920803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002859292,0.0006614152,0.5812176,0.0026591,0.0005024988,0.0008894849,0.02259559,0.009372577,0.0009572477,0.04928226,0.0116498,0.3199265],"study_design_scores_gemma":[0.0001562247,0.000908995,0.3295849,0.009224986,0.0008136772,0.001807601,0.1113281,0.129225,0.004731862,0.2333556,0.1784614,0.0004016827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6211457,0.01126761,0.262179,0.06098293,0.0005733495,0.003010145,0.01506465,0.0007207501,0.02505587],"genre_scores_gemma":[0.6979398,0.003143978,0.2894787,0.002722238,0.0001334421,0.001091493,0.004451305,0.00006719591,0.0009717765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03165766,"threshold_uncertainty_score":0.1674237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1520460779222712,"score_gpt":0.3465861297758696,"score_spread":0.1945400518535984,"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."}}