{"id":"W2015103881","doi":"10.1145/1536274.1536282","title":"Re-thinking computer literacy in post-secondary education","year":2009,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer literacy; Computer science; Mathematics education; Literacy; Computer education; Computational thinking; Course (navigation); Multimedia; Pedagogy; Artificial intelligence; World Wide Web; Engineering; Mathematics; Psychology","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":[0.001676277,0.0002588414,0.0003950583,0.001176146,0.002010723,0.004633492,0.0004459233,0.001272057,0.012165],"category_scores_gemma":[0.006150193,0.0002452193,0.0003575914,0.000512429,0.001741431,0.002403511,0.001970667,0.002766856,0.001996196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354742,"about_ca_system_score_gemma":0.003232377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003157821,"about_ca_topic_score_gemma":0.006266944,"domain_scores_codex":[0.9989763,0.0002335274,0.00005085259,0.0001229816,0.0002240138,0.000392328],"domain_scores_gemma":[0.9952353,0.001328018,0.0005189274,0.000267191,0.0008657087,0.00178484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005954352,0.009945505,0.3284999,0.0006984061,0.00003640624,0.004097388,0.2751339,0.0002928961,0.01467453,0.0251487,0.02246952,0.3184074],"study_design_scores_gemma":[0.0001914015,0.003742429,0.6149269,0.0009185518,0.00005249609,0.00337312,0.1562884,0.001332151,0.01056483,0.04028177,0.1682399,0.00008799527],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777559,0.000496103,0.0006670249,0.002257989,0.000104154,0.00005384731,0.00003040928,0.00003637738,0.01859802],"genre_scores_gemma":[0.9835141,0.0003422543,0.0004040263,0.0007191312,0.00003625963,0.00003685603,0.00005472774,0.00001305894,0.0148795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.012165,"threshold_uncertainty_score":0.04069602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007378405890614809,"score_gpt":0.2740023622904614,"score_spread":0.2666239563998466,"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."}}