{"id":"W4309287295","doi":"10.3390/informatics9040093","title":"Can Citizenship Education Benefit Computing?","year":2022,"lang":"en","type":"article","venue":"Informatics","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Citizenship; Scholarship; Politics; Engineering ethics; Sociology; Social justice; Duty; Political science; Public relations; Social science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002404649,0.00004690122,0.00006934585,0.00005214976,0.001003418,0.00005057529,0.0001975621,0.00003153524,0.0002597665],"category_scores_gemma":[0.0001612131,0.00005568089,0.00003106798,0.0002236913,0.00007969444,0.00004669167,0.00005868251,0.0001416745,0.0000325293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233597,"about_ca_system_score_gemma":0.0006362524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223834,"about_ca_topic_score_gemma":0.0001408114,"domain_scores_codex":[0.9991326,0.00005086636,0.0001930106,0.00002899193,0.0003656592,0.0002288837],"domain_scores_gemma":[0.9995063,0.0001427558,0.00009755654,0.00008618531,0.00006184605,0.0001053396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001553518,0.0000280027,0.01365754,0.00001706089,0.000009362554,3.799602e-7,0.4669003,0.0000749397,8.779297e-7,0.4686073,0.02467731,0.02602533],"study_design_scores_gemma":[0.0001193475,0.00002914039,0.001006994,0.000006704026,0.00001238945,0.000002234231,0.4393661,0.0002286654,0.00001473356,0.05367003,0.505391,0.0001526562],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7989016,0.00002605958,0.00002648638,0.002402053,0.002200158,0.0001603195,0.00002098976,0.00008628733,0.196176],"genre_scores_gemma":[0.9945953,0.000006264608,0.0005163125,0.003258408,0.0004500268,0.00001283431,0.00002232693,0.000004741843,0.00113373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4807137,"threshold_uncertainty_score":0.7717582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243828311908258,"score_gpt":0.3147057971593462,"score_spread":0.2903229659685204,"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."}}