{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00123446,0.0002209935,0.0002049475,0.0008723614,0.0004347917,0.00189898,0.0003834958,0.0003922648,0.002136456],"category_scores_gemma":[0.009021857,0.0001860279,0.0002151426,0.0002879276,0.0006667175,0.00129317,0.001946086,0.0008077702,0.0003075882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004526538,"about_ca_system_score_gemma":0.0007048609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431168,"about_ca_topic_score_gemma":0.00218879,"domain_scores_codex":[0.9993286,0.0001828718,0.00004310623,0.00008724364,0.0002237106,0.0001344492],"domain_scores_gemma":[0.9948624,0.001849956,0.001384152,0.0003496637,0.0008392537,0.0007145773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003411404,0.00186065,0.6861177,0.0002336791,0.00003090516,0.001082662,0.08419892,0.0004153459,0.03024535,0.002631894,0.0005060936,0.1923357],"study_design_scores_gemma":[0.00001433897,0.00144256,0.9405292,0.0001249017,0.00003363367,0.0009467913,0.03192975,0.001099633,0.01540468,0.001669436,0.006758931,0.00004614351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997584,0.00003040457,0.0003406239,0.00003296393,0.000001178536,0.00001091484,0.00001117458,0.00001088598,0.001977896],"genre_scores_gemma":[0.9985175,0.00003428203,0.0006283115,0.000007468224,8.89812e-7,0.000008879823,0.00001785908,0.000003468863,0.0007814901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002136456,"threshold_uncertainty_score":0.007147193,"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."}}