{"id":"W4404554005","doi":"10.1145/3687272.3688301","title":"Understanding Family Needs: Informing Social Robot Design to Support Children with Disabilities to Engage in Play","year":2024,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Manitoba","funders":"","keywords":"Robot; Social support; Social robot; Computer science; Human–computer interaction; Psychology; Social psychology; Mobile robot; Robot control; Artificial intelligence","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":[0.001155734,0.0001700967,0.0001659008,0.0004346397,0.0002833848,0.0008072149,0.0004634671,0.00005229221,0.00000934231],"category_scores_gemma":[0.00008884889,0.0001381015,0.00004161457,0.0009969464,0.00003100386,0.0005563032,0.000194493,0.0004120978,0.00006110316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002845109,"about_ca_system_score_gemma":0.000135265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002640503,"about_ca_topic_score_gemma":0.00008959816,"domain_scores_codex":[0.9985856,0.0001133724,0.0002108694,0.0003383966,0.0002887296,0.000462966],"domain_scores_gemma":[0.9993507,0.0003046154,0.00001778732,0.0001934423,0.00001053848,0.0001229131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003447163,0.00006147654,0.01496592,0.00004407154,0.00007575985,0.00003517815,0.4110704,0.03118259,0.0001346938,0.1160559,0.00286148,0.423478],"study_design_scores_gemma":[0.005700519,0.01479498,0.2011621,0.00342432,0.0001867965,0.0006647694,0.5108517,0.1180377,0.002054656,0.006736623,0.1251721,0.01121365],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05472572,0.00001193284,0.9418648,0.001108214,0.0001364857,0.00031026,6.381251e-7,0.0006529285,0.001188951],"genre_scores_gemma":[0.8627609,3.00587e-7,0.1362467,0.0003534184,0.0000565191,0.00002697216,0.000001614828,0.00001655506,0.0005370694],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8080352,"threshold_uncertainty_score":0.7783992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331454620183544,"score_gpt":0.2988977299839189,"score_spread":0.1657522679655646,"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."}}