{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008430151,0.0004683582,0.0002931355,0.001267159,0.005555438,0.003748422,0.001348483,0.002018192,0.006502212],"category_scores_gemma":[0.01887869,0.0002894772,0.0004638979,0.0005306089,0.009381017,0.004353734,0.01006651,0.002785316,0.0008324339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246902,"about_ca_system_score_gemma":0.002491547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231057,"about_ca_topic_score_gemma":0.002387691,"domain_scores_codex":[0.9908224,0.006579817,0.0001862866,0.0004729067,0.001377684,0.0005608726],"domain_scores_gemma":[0.9917305,0.003801231,0.0007458449,0.001556477,0.0008183321,0.001347581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000134079,0.000674255,0.007692069,0.0006118932,0.00002938381,0.0006430449,0.6375527,0.0006341806,0.01090351,0.04961477,0.009465165,0.2820449],"study_design_scores_gemma":[0.00009057498,0.00126092,0.01482361,0.0007450136,0.000060025,0.001898794,0.6088949,0.004984784,0.009352919,0.03974821,0.3179029,0.0002372556],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8096759,0.000485052,0.09750212,0.006971931,0.0004987882,0.00124332,0.00006855376,0.0006794957,0.08287482],"genre_scores_gemma":[0.9424985,0.000187174,0.04499932,0.0006025032,0.00003455914,0.0005511663,0.00003641009,0.0001102818,0.01097994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008430151,"threshold_uncertainty_score":0.04458344,"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."}}