{"id":"W3156543499","doi":"10.2196/25271","title":"The GIMEMA-ALLIANCE Digital Health Platform for Patients With Hematologic Malignancies in the COVID-19 Pandemic and Postpandemic Era: Protocol for a Multicenter, Prospective, Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Observational study; Pandemic; Prospective cohort study; Quality of life (healthcare); Disease; MEDLINE; Telemedicine; Health care; Pediatrics; Coronavirus disease 2019 (COVID-19); Intensive care medicine; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02247679,0.003286731,0.003947981,0.003086085,0.002925131,0.002447055,0.002116165,0.003045775,0.02832291],"category_scores_gemma":[0.02185192,0.001637176,0.003246915,0.003861513,0.001969236,0.003162456,0.002425822,0.0037156,0.006090445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004465636,"about_ca_system_score_gemma":0.01573139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002983043,"about_ca_topic_score_gemma":0.003532917,"domain_scores_codex":[0.9868455,0.007593558,0.00235856,0.001266434,0.001080306,0.0008556817],"domain_scores_gemma":[0.9864632,0.002710674,0.003059953,0.00191217,0.004172409,0.001681522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.4069043,0.06457455,0.09173995,0.07288592,0.005477041,0.003259903,0.00653804,0.01042743,0.007963949,0.02181082,0.164984,0.1434342],"study_design_scores_gemma":[0.3111338,0.08531739,0.2130412,0.03238427,0.003355523,0.00147255,0.00714522,0.009038264,0.004216388,0.01342146,0.3184801,0.0009938426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.007566342,0.0004936651,0.003056976,0.0002834266,0.0001641124,0.980073,0.006767377,0.00006016648,0.001534894],"genre_scores_gemma":[0.004461369,0.0001591845,0.002237736,0.0001576108,0.00003669955,0.9914128,0.001357104,0.000006347119,0.0001712427],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.02832291,"threshold_uncertainty_score":0.1188701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5936860931094103,"score_gpt":0.6176730319185845,"score_spread":0.02398693880917413,"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."}}