{"id":"W4404599486","doi":"10.5539/ies.v17n6p1","title":"Multimedia in Education: Readiness, Expertise and Multimedia Needs in Education","year":2024,"lang":"en","type":"article","venue":"International Education Studies","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rajamangala University of Technology Suvarnabhumi","keywords":"Multimedia; Computer science; Work (physics); Engineering","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001440245,0.0001206387,0.0001757137,0.001382932,0.0006981928,0.001888359,0.0002547221,0.0004841118,0.00640658],"category_scores_gemma":[0.007642962,0.0001120911,0.0001311507,0.0006494395,0.0004757699,0.001584204,0.001404586,0.000548468,0.000410498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006623173,"about_ca_system_score_gemma":0.001274991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051266,"about_ca_topic_score_gemma":0.002544623,"domain_scores_codex":[0.9989185,0.000395567,0.00008082655,0.00006122569,0.000300667,0.0002431404],"domain_scores_gemma":[0.9949629,0.00218433,0.0008015176,0.00007847928,0.0007445955,0.001228065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000129213,0.001290748,0.6870409,0.0006851554,0.00002720663,0.001309432,0.07029326,0.0003982243,0.004482541,0.00439256,0.002213568,0.2277372],"study_design_scores_gemma":[0.0000119054,0.0005884204,0.7216973,0.0005880829,0.00002850699,0.001943693,0.2426305,0.00101203,0.002249939,0.003031491,0.02615747,0.00006065349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990488,0.0002034195,0.0003637789,0.0007379623,0.000008405178,0.00002210646,0.0000276857,0.000006745975,0.008142027],"genre_scores_gemma":[0.9985322,0.0001458631,0.0003457112,0.00006602978,0.000005078382,0.00001240345,0.00001659041,0.000001504001,0.000874581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00640658,"threshold_uncertainty_score":0.0214321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043190319905102,"score_gpt":0.440975909815721,"score_spread":0.3977855899106191,"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."}}