{"id":"W4220933569","doi":"10.5539/ies.v15n2p89","title":"Early Childhood Imagineering: A Model for Developing Digital Storytelling","year":2022,"lang":"en","type":"article","venue":"International Education Studies","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council of Thailand; Suan Dusit University","keywords":"Storytelling; Digital storytelling; Early childhood; Animation; Early childhood education; Story telling; Presentation (obstetrics); Psychology; Process (computing); Computer science; Pedagogy; Developmental psychology; Narrative; Art; Medicine; Literature","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":[0.002677284,0.0007396773,0.0002135065,0.001885305,0.001239175,0.003311741,0.001391978,0.001257015,0.004975419],"category_scores_gemma":[0.004873292,0.0003397461,0.0007626161,0.0008835042,0.004094215,0.00555596,0.001972042,0.001784036,0.001032361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002373661,"about_ca_system_score_gemma":0.003043676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002921389,"about_ca_topic_score_gemma":0.003245382,"domain_scores_codex":[0.9982744,0.001061883,0.0001098194,0.0001839216,0.000265136,0.0001047262],"domain_scores_gemma":[0.9961228,0.002119274,0.000405077,0.0004626054,0.0005678202,0.0003223835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006192609,0.0001822044,0.00510809,0.0005916922,0.00002061348,0.0009394032,0.05802796,0.006371596,0.003098776,0.8468559,0.002013136,0.07672875],"study_design_scores_gemma":[0.0001028127,0.0008180441,0.01445889,0.00187389,0.0001456783,0.004822818,0.06099473,0.05341862,0.0107638,0.4976785,0.3547117,0.0002103725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1145641,0.002025769,0.596208,0.003751224,0.0001580582,0.0009763374,0.0002902507,0.0005359917,0.2814903],"genre_scores_gemma":[0.7024407,0.001445733,0.2782967,0.0002569246,0.00001860312,0.0007922598,0.0003125874,0.000080922,0.01635553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004975419,"threshold_uncertainty_score":0.01722223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196015931977795,"score_gpt":0.43859959260293,"score_spread":0.3189979994051505,"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."}}