{"id":"W4405253114","doi":"10.1007/s40751-024-00166-5","title":"Pre-service Teachers’ Characterizations of “Draggable” Task Situations Through the Lens of Embodied Task Design","year":2024,"lang":"en","type":"article","venue":"Digital Experiences in Mathematics Education","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Embodied cognition; Task (project management); Human–computer interaction; Exploratory research; Computer science; Set (abstract data type); Mathematics education; Psychology; Artificial intelligence; Engineering; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002449207,0.000139439,0.0001710358,0.0002448742,0.00009008707,0.0002134347,0.0007591828,0.00007697974,0.00001855935],"category_scores_gemma":[0.0003253319,0.0001098522,0.00004288021,0.001440072,0.0001970555,0.002444501,0.0001114305,0.0001643305,0.00001960594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000788363,"about_ca_system_score_gemma":0.0003329745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001855947,"about_ca_topic_score_gemma":0.000006745945,"domain_scores_codex":[0.9987054,0.0000469999,0.0005821225,0.0002599208,0.0002519541,0.0001535965],"domain_scores_gemma":[0.9985422,0.0003632398,0.0002933661,0.0005163227,0.000272454,0.0000124471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001550346,0.0004496004,0.00004705034,0.00009871393,0.00002327653,3.067214e-7,0.5312698,0.0001464941,0.007151771,0.4564121,0.000226211,0.004173181],"study_design_scores_gemma":[0.0002271181,0.0002589365,0.001079666,0.00136248,0.00003979226,0.00005541337,0.2061082,0.1193622,0.04381996,0.6236739,0.003369577,0.0006428382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3142075,0.0001035287,0.675599,0.001150666,0.0006848026,0.0005097939,0.000008163866,0.0001086201,0.007627825],"genre_scores_gemma":[0.9757648,0.00001067866,0.02354049,0.00007723467,0.00002822911,0.0003385347,0.00002015299,0.000010987,0.0002089041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6615573,"threshold_uncertainty_score":0.4479641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03928996456465022,"score_gpt":0.3158182668434161,"score_spread":0.2765283022787659,"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."}}