{"id":"W4413135600","doi":"10.1080/14927713.2025.2539698","title":"Building bridges: codesigning & sense of belonging","year":2025,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Fredericton; University of New Brunswick","funders":"","keywords":"Sense (electronics); Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005670525,0.0001845515,0.0002930271,0.0006168348,0.0001835687,0.00008208343,0.000622338,0.0001463631,0.000009614677],"category_scores_gemma":[0.0002139828,0.0001956612,0.00007600239,0.001171859,0.0001038214,0.0004951892,0.000331056,0.0003938068,0.00003583484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135856,"about_ca_system_score_gemma":0.00008315856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005739495,"about_ca_topic_score_gemma":0.00002080248,"domain_scores_codex":[0.9984744,0.00008903331,0.0004224689,0.0004554199,0.0002239356,0.0003347534],"domain_scores_gemma":[0.9984868,0.0002470964,0.0002370897,0.0006847737,0.0003204334,0.00002380928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001187632,0.00006009435,0.006360667,0.00006346004,0.00007769009,0.00002335718,0.0004238633,0.0003832029,0.2225042,0.7546085,0.001428977,0.01405412],"study_design_scores_gemma":[0.0007765337,0.0001002379,0.01518684,0.0007221997,0.00003163681,0.000107695,0.0001187342,0.01984498,0.9070807,0.02482887,0.03066123,0.0005403807],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.417107,0.0000518471,0.5797755,0.0007017768,0.0004626851,0.0001173381,0.000001015853,0.0002649717,0.001517832],"genre_scores_gemma":[0.8990298,0.000003712335,0.1001124,0.000208469,0.00003784568,0.00001319982,0.000001987231,0.00001107592,0.000581514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7297796,"threshold_uncertainty_score":0.7978833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265479736941443,"score_gpt":0.3067047049762816,"score_spread":0.2840499076068672,"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."}}