{"id":"W2995674546","doi":"10.2196/14810","title":"Self-Management Characterization for Families of Children With Medical Complexity and Their Social Networks: Protocol for a Qualitative Assessment","year":2019,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Adolescent and Pediatric Healthcare","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research","keywords":"Self-management; Social network analysis; Knowledge management; Social network (sociolinguistics); Population; Psychology; Health care; Nursing; Medicine; Computer science; Social media","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":[0.08636016,0.002564675,0.003097024,0.0057029,0.00779001,0.004369782,0.004764222,0.003671209,0.03904209],"category_scores_gemma":[0.08743893,0.002251371,0.002991426,0.005592698,0.005025638,0.003671243,0.005753764,0.005041631,0.005476124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01542856,"about_ca_system_score_gemma":0.04839915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128546,"about_ca_topic_score_gemma":0.02285004,"domain_scores_codex":[0.9597878,0.02644687,0.00480598,0.002763008,0.003238658,0.002957603],"domain_scores_gemma":[0.9242373,0.03347844,0.005470621,0.008821151,0.02506676,0.002925658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0113807,0.007077744,0.01163511,0.07967233,0.0004956844,0.003299117,0.3140027,0.006988525,0.01076535,0.03950619,0.1138461,0.4013305],"study_design_scores_gemma":[0.01115654,0.004970687,0.02369305,0.05278748,0.0004658033,0.000691029,0.2515869,0.005829367,0.01280145,0.03720338,0.5980182,0.000796158],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.007720642,0.0002655101,0.00792919,0.0006718947,0.00019719,0.9755471,0.004235391,0.0001014283,0.003331621],"genre_scores_gemma":[0.002254596,0.00007977622,0.005460033,0.00009513887,0.000004849845,0.9915984,0.0001900013,0.000006490974,0.0003106386],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.08636016,"threshold_uncertainty_score":0.4567216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3855474943931401,"score_gpt":0.664413783349268,"score_spread":0.278866288956128,"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."}}