{"id":"W4404173321","doi":"10.1145/3687031","title":"Designing Collaborative Technology for Intergenerational Social Play over Distance","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sociology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005062431,0.0008919049,0.0003511424,0.001275718,0.003544157,0.005265296,0.002573006,0.001875916,0.005264734],"category_scores_gemma":[0.01099374,0.000620886,0.0006846149,0.0006644838,0.003657776,0.007335816,0.007638684,0.001113832,0.001122202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008483435,"about_ca_system_score_gemma":0.001248984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006926301,"about_ca_topic_score_gemma":0.001174314,"domain_scores_codex":[0.9947977,0.003660097,0.000207083,0.0005682596,0.0004021958,0.0003646419],"domain_scores_gemma":[0.9950373,0.003273297,0.0003171269,0.0007195662,0.0002313197,0.0004214178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"design_other","study_design_scores_codex":[0.0002915091,0.001100936,0.01845395,0.002477867,0.0002585841,0.004675519,0.1907481,0.0214057,0.04512704,0.2278332,0.008847853,0.4787799],"study_design_scores_gemma":[0.0005119624,0.003111473,0.01268088,0.001967629,0.0004504511,0.006233367,0.1514162,0.06968567,0.02989822,0.2710626,0.4526265,0.0003551338],"study_design_candidate":"design_other","study_design_consensus":"design_other","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2182131,0.001298073,0.7289618,0.001849446,0.0001637187,0.001098237,0.00006475344,0.0008982219,0.04745271],"genre_scores_gemma":[0.6195989,0.0007131446,0.3727877,0.0001538215,0.00003764355,0.001510156,0.00008328052,0.000127067,0.004988247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005265296,"threshold_uncertainty_score":0.02677304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03836472585502838,"score_gpt":0.3440461950796352,"score_spread":0.3056814692246068,"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."}}