{"id":"W4412072931","doi":"10.36510/learnland.vi29.1154","title":"Going in Circles: Transitions, Connections, and Identity-Building through Venn Diagrams","year":2025,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Venn diagram; Identity (music); Computer science; Engineering drawing; Psychology; Engineering; Aesthetics; Philosophy; Mathematics education","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008243204,0.00005942638,0.0001095683,0.0001316295,0.0005808241,0.00016216,0.0000932572,0.00006377539,0.00004679594],"category_scores_gemma":[0.0005739628,0.00006494294,0.00002727798,0.0003155585,0.00004904002,0.0002593882,0.00001841841,0.0002330417,0.000004559881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004649898,"about_ca_system_score_gemma":0.00005167672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006560947,"about_ca_topic_score_gemma":0.002162119,"domain_scores_codex":[0.9992354,0.0002279014,0.0001441924,0.0001399583,0.0001048808,0.0001476596],"domain_scores_gemma":[0.9995704,0.000273501,0.00004394837,0.00006590829,0.0000213387,0.00002492686],"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":[0.000002069208,0.0000486663,0.04798384,0.00005804064,0.00001026453,0.000001144402,0.04159324,0.00002559553,0.000099109,0.9042567,0.0003055783,0.005615724],"study_design_scores_gemma":[0.000621344,0.00003964205,0.01692862,0.001120278,0.00005120749,0.000004048721,0.03963142,0.001466162,0.0002031783,0.5781782,0.3613328,0.0004230652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8218212,0.001086653,0.1279314,0.005302664,0.0002556337,0.000262791,9.23542e-7,0.0005183225,0.04282043],"genre_scores_gemma":[0.9943932,0.0003669316,0.004578019,0.0001014374,0.00004661013,0.00002419492,0.000002433109,0.000005289641,0.000481853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3610272,"threshold_uncertainty_score":0.4467288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657702854611877,"score_gpt":0.3545785651312914,"score_spread":0.3380015365851726,"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."}}