{"id":"W2906316652","doi":"","title":"Making Multimedia Meaningful: Outcomes of Student Assessment in Online Learning","year":2018,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multimedia; Computer science; Perception; Educational technology; Psychology; Mathematics education","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":[0.003884917,0.0003760291,0.0004544894,0.001539943,0.0009619737,0.002812601,0.0007985827,0.001085729,0.004032742],"category_scores_gemma":[0.04332321,0.0001494578,0.0006477729,0.0006413638,0.0008113343,0.001656912,0.002739608,0.0009780192,0.001087691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000642084,"about_ca_system_score_gemma":0.000682376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275784,"about_ca_topic_score_gemma":0.001715068,"domain_scores_codex":[0.9962137,0.001313517,0.0002967042,0.0003727127,0.001448333,0.0003549611],"domain_scores_gemma":[0.9783477,0.008269235,0.004894152,0.001210602,0.004121531,0.003156776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003648762,0.01275177,0.6321698,0.0003796025,0.0002631911,0.0006112861,0.02923186,0.001383625,0.006643385,0.000751014,0.00201446,0.3101512],"study_design_scores_gemma":[0.0001132404,0.01000153,0.9624939,0.0001307807,0.0001425029,0.0003560098,0.01363447,0.002376715,0.005832775,0.001426884,0.003366186,0.0001250283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967981,0.0000490668,0.0002221667,0.00005756916,0.00001378099,0.0000586496,0.00007567005,0.00001935907,0.002705671],"genre_scores_gemma":[0.9984407,0.00003281983,0.0002400311,0.00001644066,0.0000084209,0.00004706755,0.00005800433,0.000005887454,0.001150632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004032742,"threshold_uncertainty_score":0.0205456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04783458033832312,"score_gpt":0.4405373233454897,"score_spread":0.3927027430071666,"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."}}