{"id":"W2980665108","doi":"","title":"Civic Engagement in Canada: A Critical Analysis of Social Media, Care for Others, and Gender on Volunteering and Donating","year":2019,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Civic engagement; Public engagement; Social media; Social engagement; Social psychology; Sociology; Logistic regression; Population; Public relations; Psychology; Political science; Social science; Medicine; Politics","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":[0.00530638,0.0005144674,0.0008176768,0.004914851,0.02538952,0.006323769,0.001815573,0.0008314062,0.003062383],"category_scores_gemma":[0.01685128,0.0003323773,0.0007552401,0.01046068,0.004843709,0.001515587,0.004378011,0.002335474,0.0001676732],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1549273,"about_ca_system_score_gemma":0.2342115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972181,"about_ca_topic_score_gemma":0.9983228,"domain_scores_codex":[0.9953191,0.0009583447,0.0001013016,0.0003305668,0.001372326,0.00191834],"domain_scores_gemma":[0.9817039,0.004890448,0.001186699,0.0003460872,0.008608704,0.003264147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002511068,0.0002457552,0.5690373,0.0003156143,0.00008789213,0.0006924851,0.3367669,0.0003138438,0.0003070374,0.01389634,0.01991508,0.05817077],"study_design_scores_gemma":[0.000009504586,0.00004402952,0.510397,0.0002785381,0.00006949947,0.00006677507,0.4640943,0.0006733481,0.0001292861,0.0006832266,0.02349201,0.00006246145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563584,0.002556246,0.0003316928,0.01001939,0.0001185428,0.0002532083,0.001342228,0.00001742881,0.02900273],"genre_scores_gemma":[0.9922566,0.001576318,0.0004140327,0.0008510851,0.00002119362,0.0000917794,0.0003608009,0.00001873685,0.004409438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1549273,"threshold_uncertainty_score":0.9801645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126490511135965,"score_gpt":0.4457784723503196,"score_spread":0.3192879612143547,"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."}}