{"id":"W2903283744","doi":"10.22318/cscl2017.109","title":"Assessing Student Generated Infographics for Scaffolding Learning With Multiple Representations","year":2017,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Infographic; Computer science; Scaffold; Multimedia; Data science; Data mining; Programming language","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":[0.001267491,0.0004051105,0.0003198954,0.001872718,0.0001868757,0.001658398,0.000524151,0.000661374,0.003230201],"category_scores_gemma":[0.02626448,0.0001407342,0.0002593634,0.0008236619,0.0002171689,0.001509803,0.0007829936,0.0003968458,0.0005539002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002706355,"about_ca_system_score_gemma":0.0004201939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007513257,"about_ca_topic_score_gemma":0.0007602597,"domain_scores_codex":[0.9988353,0.0003504018,0.0001106097,0.0001823861,0.0004784647,0.00004287725],"domain_scores_gemma":[0.9837747,0.01057527,0.001665726,0.001295145,0.001812425,0.0008767421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003853532,0.00316213,0.2396564,0.0007362038,0.0002769223,0.0003011879,0.00585403,0.01472388,0.0796245,0.002183835,0.00213732,0.6474901],"study_design_scores_gemma":[0.0004335763,0.0115455,0.5763117,0.0002150529,0.0007526021,0.001418187,0.003815586,0.2058535,0.1870941,0.005085845,0.007207923,0.0002664487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790629,0.00008488902,0.0177125,0.00002218411,0.00001528502,0.00009123136,0.0002088512,0.000439228,0.002363],"genre_scores_gemma":[0.9894476,0.0000495408,0.009540665,0.000006308241,0.000004793184,0.00004565724,0.0002080997,0.00004106067,0.0006561924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003230201,"threshold_uncertainty_score":0.01080614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03686856264575974,"score_gpt":0.3349598041467856,"score_spread":0.2980912415010258,"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."}}