{"id":"W2996433922","doi":"10.1145/3362077.3362082","title":"AI education matters","year":2019,"lang":"en","type":"article","venue":"AI Matters","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Salient; Subject (documents); Engineering ethics; Data science; Political science; Computer science; Sociology; World Wide Web; Engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066406,0.0004596958,0.0005298586,0.002293721,0.007168217,0.01475591,0.0008358665,0.01239513,0.08271824],"category_scores_gemma":[0.0610907,0.0002342428,0.00044013,0.002589569,0.007710664,0.01094181,0.003162954,0.007946673,0.03096398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00337753,"about_ca_system_score_gemma":0.006496405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008952852,"about_ca_topic_score_gemma":0.008625553,"domain_scores_codex":[0.9906894,0.00236848,0.000396396,0.001082706,0.004428241,0.001034862],"domain_scores_gemma":[0.9432672,0.02699958,0.006244868,0.003355671,0.01202777,0.008104953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000489518,0.00006564884,0.004422737,0.0001899978,0.00002636818,0.0002159622,0.001914595,0.00005117391,0.0001753613,0.08321379,0.8357741,0.07390136],"study_design_scores_gemma":[0.000008629813,0.00002376881,0.003778646,0.0003458943,0.00001316267,0.0002390622,0.002161522,0.00005014141,0.000149703,0.02345963,0.9697549,0.00001497197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003186713,0.009793538,0.0002394445,0.7744272,0.00739244,0.00001431542,0.0004752153,0.00009507682,0.204376],"genre_scores_gemma":[0.1877966,0.02470735,0.0005393395,0.5724235,0.02615487,0.00003994383,0.0007161945,0.0001846426,0.1874378],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08271824,"threshold_uncertainty_score":0.27672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009500679667002387,"score_gpt":0.3156231829780236,"score_spread":0.3061225033110212,"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."}}