{"id":"W4242869681","doi":"10.2196/preprints.12616","title":"Understanding Social Network and Support for Older Immigrants in Ontario, Canada: Protocol for a Mixed-Methods Study (Preprint)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Psychological resilience; Intersectionality; Sociology; Vulnerability (computing); Social support; Social isolation; Gender studies; Gerontology; Psychology; Political science; Social psychology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03441887,0.002357106,0.003093947,0.003545649,0.01184463,0.004308365,0.004068621,0.00302508,0.07227014],"category_scores_gemma":[0.02802314,0.003190291,0.00325336,0.004742356,0.002847515,0.002168572,0.002937074,0.004095802,0.007193656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04232172,"about_ca_system_score_gemma":0.149503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5053443,"about_ca_topic_score_gemma":0.7170249,"domain_scores_codex":[0.9880912,0.005658742,0.001820512,0.00122385,0.001431722,0.001773927],"domain_scores_gemma":[0.9789526,0.004189472,0.001814785,0.001944722,0.01033705,0.002761299],"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":[0.03796366,0.01642387,0.02256773,0.06158996,0.0009677666,0.003390182,0.09083102,0.00759528,0.00694005,0.02005384,0.3548408,0.3768358],"study_design_scores_gemma":[0.06011671,0.009084816,0.1240347,0.04309051,0.0008724451,0.0003386438,0.06422543,0.004309544,0.004139238,0.01173059,0.6770551,0.001002246],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.003793168,0.0002248112,0.001709673,0.0003879718,0.0001406761,0.9862196,0.00533371,0.0000456692,0.002144719],"genre_scores_gemma":[0.001564163,0.00011747,0.001860023,0.0001274956,0.00001298983,0.9954034,0.0003421156,0.000003452044,0.0005688052],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.4946557,"threshold_uncertainty_score":0.9951377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437315771180389,"score_gpt":0.4476322173429186,"score_spread":0.3039006402248797,"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."}}