{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008728514,0.00007120764,0.0001054693,0.00001083136,0.006652708,0.00003093618,0.0001942275,0.00009053054,0.0009781687],"category_scores_gemma":[0.0008283639,0.00004882335,0.00004139264,0.0003207783,0.00005893145,0.0004036718,0.0001024058,0.0005826291,0.00150854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004895918,"about_ca_system_score_gemma":0.0002251735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003946479,"about_ca_topic_score_gemma":0.0001040248,"domain_scores_codex":[0.998308,0.0003969652,0.0006752533,0.0001295437,0.0001100487,0.0003801727],"domain_scores_gemma":[0.9985658,0.000743154,0.0002144784,0.0001961668,0.0001178537,0.0001625521],"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":[0.00003151426,0.000007831114,0.005621723,0.00005471596,0.000008623605,1.866529e-7,0.0032443,0.0000120356,0.000002597826,0.04003161,0.9433576,0.007627223],"study_design_scores_gemma":[0.0002239505,0.00001403785,0.01185357,0.000008154006,0.000005010088,2.509458e-7,0.001478714,0.002563583,0.00000118075,0.0009812081,0.982814,0.00005634732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1002191,0.0007776086,0.05078777,0.5577813,0.01237478,0.004900447,0.002142555,0.001941242,0.2690752],"genre_scores_gemma":[0.9159065,0.00006687725,0.0004323245,0.07675689,0.004982639,0.000338473,0.0005378695,0.000019067,0.0009593433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8156874,"threshold_uncertainty_score":0.9999351,"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."}}