{"id":"W3111795322","doi":"10.21307/connections-2019.017","title":"The ‘GROW Social Network’ datasets","year":2020,"lang":"en","type":"article","venue":"Connections","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; Office of Behavioral and Social Sciences Research; National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Intervention (counseling); Cohesion (chemistry); Multiplex; Baseline (sea); Psychology; Measure (data warehouse); Medicine; Computer science; Biology; Data mining; Bioinformatics; Psychiatry","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":[0.001801227,0.0008562856,0.0006133079,0.003715919,0.001034433,0.001509661,0.001854492,0.001631225,0.02443631],"category_scores_gemma":[0.01455531,0.0003938111,0.0006917709,0.005016119,0.0003741491,0.00130702,0.002845079,0.001622026,0.01774714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008670238,"about_ca_system_score_gemma":0.001398473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264478,"about_ca_topic_score_gemma":0.04427204,"domain_scores_codex":[0.9982521,0.0005746773,0.0002168682,0.0003788805,0.0004132658,0.0001642562],"domain_scores_gemma":[0.9944209,0.00235856,0.0006707416,0.001069959,0.0009937728,0.0004860039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001550861,0.00008743739,0.01084459,0.001002515,0.00008887814,0.0001404699,0.0004293304,0.001201999,0.000448235,0.003753728,0.9709076,0.01094003],"study_design_scores_gemma":[0.0001593793,0.00004966677,0.0267681,0.0005521965,0.00005732212,0.0001455727,0.000590241,0.00178095,0.0003557469,0.00307474,0.9664024,0.00006364289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002204044,0.00008460703,0.0003567961,0.0001764499,0.0000347853,0.0000810686,0.9953738,0.0002159169,0.001472562],"genre_scores_gemma":[0.003436046,0.000082823,0.001283981,0.00009290707,0.0000195094,0.0005449594,0.9934214,0.00006681215,0.001051632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02443631,"threshold_uncertainty_score":0.08174753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1109428538545273,"score_gpt":0.4634645924202319,"score_spread":0.3525217385657046,"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."}}