{"id":"W4312105123","doi":"10.1093/geroni/igac059.253","title":"WHAT IS THE DIGITAL MATURITY OF LONG-TERM CARE HOMES IN ONTARIO? A SURVEY PROTOCOL","year":2022,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Maturity (psychological); Context (archaeology); Work (physics); Process (computing); Protocol (science); Nursing; Health care; Nursing homes; Process management; Psychology; Medicine; Business; Computer science; Engineering; Geography; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04315782,0.0009634725,0.001485662,0.004666874,0.007003852,0.003501428,0.002107221,0.001406902,0.01890234],"category_scores_gemma":[0.02893692,0.001906879,0.002073881,0.005153823,0.002526689,0.002476704,0.002669327,0.003001276,0.003661558],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05928834,"about_ca_system_score_gemma":0.1390364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6059282,"about_ca_topic_score_gemma":0.7059132,"domain_scores_codex":[0.986628,0.003881458,0.003379187,0.001027525,0.00293306,0.002150732],"domain_scores_gemma":[0.9718829,0.002367012,0.002784306,0.001592159,0.01707337,0.004300325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007637574,0.01159271,0.2339217,0.01538016,0.000486858,0.0027812,0.1151838,0.004982978,0.006121603,0.01400745,0.2446466,0.3432573],"study_design_scores_gemma":[0.00357825,0.0039022,0.6240211,0.006574677,0.0001743312,0.0002743866,0.05485668,0.002974646,0.001444097,0.003274758,0.2984793,0.0004455801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.04589329,0.0003589111,0.004553066,0.002685388,0.000169308,0.9170264,0.01566515,0.000117714,0.0135308],"genre_scores_gemma":[0.04295814,0.0008743062,0.009529916,0.0009380432,0.00005636088,0.9377429,0.00405567,0.00001953616,0.003825182],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.9407117,"threshold_uncertainty_score":0.792785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05635241965381245,"score_gpt":0.3988916756753717,"score_spread":0.3425392560215593,"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."}}