{"id":"W4252382123","doi":"10.31235/osf.io/kw2f5","title":"The New \"Good Samaritans\": Digital Helpers During Pandemic Times in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Residence; Promotion (chess); Pandemic; Digital literacy; Psychology; Population; Digital divide; Gerontology; Demography; Medicine; Coronavirus disease 2019 (COVID-19); Information and Communications Technology; Sociology; Political science; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007711007,0.0002015719,0.0002981878,0.0007608482,0.009123029,0.002647331,0.0009943499,0.000650301,0.001864433],"category_scores_gemma":[0.002731663,0.0002323432,0.0002070641,0.001602291,0.002473608,0.0009899229,0.00280108,0.001239987,0.0001204547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02195202,"about_ca_system_score_gemma":0.03686911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783002,"about_ca_topic_score_gemma":0.993192,"domain_scores_codex":[0.9991303,0.0001111405,0.00001699408,0.00006298046,0.0001182442,0.00056024],"domain_scores_gemma":[0.998122,0.000146618,0.0003056231,0.00003822142,0.0003414906,0.00104589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001645629,0.0001483798,0.6450464,0.0001184525,0.00002130206,0.001348904,0.3119237,0.0001424404,0.0005321465,0.001912824,0.007192252,0.03144864],"study_design_scores_gemma":[0.00001114074,0.00005223218,0.4196427,0.0001095749,0.00001510389,0.0002082943,0.5657123,0.0001603815,0.0001287543,0.0001623089,0.01376894,0.00002833292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943234,0.0003899835,0.00003855786,0.001700653,0.00002330373,0.00003372095,0.0001775576,0.000004114843,0.003308735],"genre_scores_gemma":[0.9978119,0.0004692024,0.00005868742,0.000223143,0.000005092181,0.000006920442,0.00008754255,0.000003166122,0.001334382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02195202,"threshold_uncertainty_score":0.1592738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134115375596502,"score_gpt":0.2595293473444012,"score_spread":0.2481881935884362,"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."}}