{"id":"W6902138188","doi":"10.6084/m9.figshare.10052897","title":"MOESM9 of Scaling-up implementation in community hospitals: a multisite interrupted time series design of the Mobilization of Vulnerable Elders (MOVE) program in Alberta","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interrupted time series; Mobilization; Program Design Language; Community participation; Series (stratigraphy); Program evaluation","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":[0.01721334,0.0007126955,0.0009139442,0.001415355,0.002409332,0.001412717,0.002941688,0.00069552,0.04653531],"category_scores_gemma":[0.04480324,0.0007068453,0.001339518,0.002967937,0.0007480283,0.0009314345,0.002362363,0.002156729,0.002155715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01098471,"about_ca_system_score_gemma":0.02162657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4284673,"about_ca_topic_score_gemma":0.5677532,"domain_scores_codex":[0.9876207,0.007336699,0.0008811157,0.000945173,0.001719481,0.001496891],"domain_scores_gemma":[0.9746974,0.01260214,0.003927472,0.001793542,0.005280348,0.001699167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03828295,0.008939553,0.3520268,0.003301493,0.002001382,0.0002181349,0.01573887,0.005826491,0.0007468169,0.006549398,0.2721018,0.2942664],"study_design_scores_gemma":[0.005479988,0.009483563,0.9284609,0.001197806,0.0007328137,0.00002088757,0.01019853,0.006460687,0.0008236311,0.0008754594,0.03613839,0.0001273235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6125261,0.0002587262,0.01547656,0.001718433,0.0004521743,0.06921801,0.2725014,0.001000602,0.02684796],"genre_scores_gemma":[0.6367604,0.0002015942,0.05240293,0.0005872677,0.00009154206,0.229787,0.05729919,0.0003008167,0.02256916],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5715327,"threshold_uncertainty_score":0.8519467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04060998699217998,"score_gpt":0.3893144162180222,"score_spread":0.3487044292258422,"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."}}