{"id":"W2134498181","doi":"10.21432/t2c01s","title":"Early Development of Graphical Literacy through Knowledge Building","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Graphics; Visual literacy; Mathematics education; Scientific literacy; Computer science; Reciprocal; Literacy; Computer graphics; Knowledge level; Quality (philosophy); Multimedia; Science education; Psychology; Pedagogy; Computer graphics (images)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001648412,0.000127191,0.0003048919,0.001117091,0.0002974975,0.00002428885,0.0002308567,0.0003359791,0.0001756549],"category_scores_gemma":[0.0008724611,0.0001167959,0.00004586198,0.0006805685,0.0004117971,0.00006751183,0.00002164322,0.002712318,0.000008013022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002242651,"about_ca_system_score_gemma":0.0004272437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002566993,"about_ca_topic_score_gemma":0.0003140288,"domain_scores_codex":[0.9987085,0.0002610106,0.0004659533,0.0001620447,0.00006765243,0.0003348597],"domain_scores_gemma":[0.9988277,0.0001825929,0.0003626519,0.0001263529,0.0003515066,0.0001491937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002064205,0.00003647442,0.4534493,0.00001867574,0.0001475076,0.00009688468,0.0272804,0.000001120518,0.01539369,0.0944209,0.0001395167,0.4089948],"study_design_scores_gemma":[0.001092972,0.0006823357,0.1204043,0.0002180364,0.00004155073,0.001263912,0.003082068,0.00001095193,0.003102252,0.0074135,0.8623359,0.0003522005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872827,0.000912453,0.006740413,0.0004728239,0.0007616621,0.00003227391,4.814822e-7,0.00002918119,0.003768014],"genre_scores_gemma":[0.9393859,0.000002544801,0.06001313,0.0000104598,0.00009390827,0.000001586843,4.79873e-7,0.0000182437,0.0004737779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8621964,"threshold_uncertainty_score":0.9995885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944097275903485,"score_gpt":0.3598529242329602,"score_spread":0.3404119514739253,"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."}}