{"id":"W2037399760","doi":"10.2196/resprot.3960","title":"Recruiting Migrants for Health Research Through Social Network Sites: An Online Survey Among Chinese Migrants in Australia","year":2015,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Popularity; Social network (sociolinguistics); Marital status; The Internet; General Social Survey; Sample (material); Social media; Psychology; Medicine; Population; Environmental health; Social psychology; Political science; World Wide Web","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004048306,0.0002614818,0.0002982953,0.001157496,0.001563117,0.0008727359,0.0005713287,0.0006708595,0.001561517],"category_scores_gemma":[0.005507237,0.0002744497,0.0002986738,0.0009269852,0.0006057661,0.001153623,0.001479479,0.0005218882,0.0003061266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008395776,"about_ca_system_score_gemma":0.002012377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0159942,"about_ca_topic_score_gemma":0.02635333,"domain_scores_codex":[0.9983149,0.000781409,0.000224955,0.0001425397,0.0003088895,0.0002273149],"domain_scores_gemma":[0.9972206,0.0004531523,0.001036433,0.0001048618,0.000526886,0.0006581655],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001572007,0.0005537735,0.8795502,0.000572401,0.00004010998,0.001616527,0.08740666,0.0000654804,0.002382491,0.00009961809,0.001282112,0.02627338],"study_design_scores_gemma":[0.00002026852,0.0007249568,0.9151824,0.000258347,0.00002883811,0.0007461593,0.08006611,0.0002759792,0.0002239277,0.00006950411,0.002377622,0.00002579894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.9990091,0.00008264172,0.00006794332,0.0002382042,0.000005262938,0.00016858,0.0000687915,0.000002603357,0.0003567388],"genre_scores_gemma":[0.9969158,0.0005110089,0.0007713999,0.0004215673,0.00001903739,0.000517742,0.0001233668,0.000002943645,0.0007171105],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.9959517,"threshold_uncertainty_score":0.03180218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9352102264502777,"score_gpt":0.7496477567532264,"score_spread":0.1855624696970514,"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."}}