{"id":"W2604351039","doi":"","title":"Identifying smart practices to increase youth participation in grassroot citizen advocacy with RESULTS Canada","year":2016,"lang":"en","type":"article","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Public relations; Public administration","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":[0.01165818,0.0002938762,0.0002675004,0.00165755,0.007548906,0.006335375,0.001274394,0.001070155,0.00540348],"category_scores_gemma":[0.02495038,0.0002835823,0.0003705238,0.00197332,0.002312231,0.00248297,0.004863906,0.001642647,0.0006142966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01801766,"about_ca_system_score_gemma":0.06829111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3836389,"about_ca_topic_score_gemma":0.6750842,"domain_scores_codex":[0.9898796,0.004610707,0.0003015246,0.0006914157,0.002292583,0.00222427],"domain_scores_gemma":[0.9792665,0.007560879,0.002030175,0.001404215,0.00428913,0.005449133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002982995,0.002221121,0.2640178,0.000545617,0.00009327631,0.000464803,0.2193307,0.0007007942,0.004897083,0.02377856,0.02683871,0.4568132],"study_design_scores_gemma":[0.0001028215,0.0008242541,0.3224396,0.001169041,0.0001807373,0.0001713377,0.4009273,0.00513072,0.006446582,0.01131648,0.2511348,0.0001564575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8695124,0.0003816252,0.01049767,0.01130231,0.0001053624,0.001259977,0.0004484464,0.0003297198,0.1061626],"genre_scores_gemma":[0.9760005,0.0002642789,0.01488625,0.0007512876,0.000008706107,0.0005097827,0.0001560739,0.00004444086,0.00737868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6163611,"threshold_uncertainty_score":0.7628117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06382171368047253,"score_gpt":0.3294314477565918,"score_spread":0.2656097340761193,"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."}}