{"id":"W3173796469","doi":"10.1145/3459990.3460694","title":"PlushPal: Storytelling with Interactive Plush Toys and Machine Learning","year":2021,"lang":"en","type":"article","venue":"Interaction Design and Children","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Storytelling; Computer science; Gesture; Interactive storytelling; Context (archaeology); Multimedia; Human–computer interaction; Debugging; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002562196,0.0001562545,0.0001554219,0.00009672932,0.0002918642,0.0004491732,0.0001253684,0.00004687506,0.00001924052],"category_scores_gemma":[0.00007035611,0.000136589,0.00002789824,0.0001418489,0.00003396396,0.0005708079,0.0001108341,0.0006388461,0.000007892768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003363328,"about_ca_system_score_gemma":0.00003442931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001085918,"about_ca_topic_score_gemma":0.00001361259,"domain_scores_codex":[0.9987991,0.0003030665,0.0001397719,0.0004306382,0.0001394146,0.0001879627],"domain_scores_gemma":[0.9993089,0.0002651433,0.0001070448,0.0001633919,0.00006128208,0.00009420436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001616686,0.0001178086,0.02104652,0.00001626279,0.000223207,0.00008445845,0.01357712,0.007387279,0.0007373532,0.0009020017,0.0001508147,0.9555955],"study_design_scores_gemma":[0.0068928,0.003159036,0.08039675,0.001675238,0.0002485127,0.01256213,0.004668079,0.6669534,0.01802824,0.0005327999,0.2018318,0.00305123],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1195596,0.0007409143,0.8786741,0.00041289,0.0001407719,0.00009783621,4.180931e-7,0.0002313478,0.0001420757],"genre_scores_gemma":[0.9296579,0.00008763251,0.06943969,0.000165371,0.00005992474,0.000006817358,0.000008460494,0.00001610526,0.0005580515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9525443,"threshold_uncertainty_score":0.5569937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713872266153205,"score_gpt":0.2355305483223324,"score_spread":0.2183918256608004,"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."}}