{"id":"W3177128844","doi":"10.1145/3461778.3462022","title":"Family and Friend Communication over Distance in Canada During the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Electronic Arts (Canada)","funders":"","keywords":"Pandemic; Social distance; Distancing; Disconnection; Psychology; Coronavirus disease 2019 (COVID-19); Exploratory research; Public relations; Autonomy; Atmosphere (unit); Internet privacy; Sociology; Social psychology; Political science; Geography; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001353844,0.0000548887,0.00006102402,0.00003596448,0.0001529506,0.00004370357,0.0003682089,0.00002606482,0.00001952576],"category_scores_gemma":[0.00008706597,0.00004371562,0.000005868921,0.0003404217,0.00005346131,0.0002387315,0.0002673348,0.0002150827,0.000001369584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006429295,"about_ca_system_score_gemma":0.0004049579,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3466403,"about_ca_topic_score_gemma":0.9467497,"domain_scores_codex":[0.9994164,0.00007417674,0.0001324026,0.000170957,0.00009524887,0.0001108899],"domain_scores_gemma":[0.9992552,0.0001448051,0.00005153984,0.0004832468,0.000046885,0.00001829119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008745747,0.00002297095,0.5944897,0.00002288188,0.00001701028,0.00006626378,0.00161618,0.0001021381,0.0115271,0.3873776,0.002419964,0.002329472],"study_design_scores_gemma":[0.0006212117,0.000008195044,0.9412193,0.00002315731,0.000001903718,0.000158635,0.001991068,0.01020899,0.003375601,0.009092501,0.03307865,0.0002208081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578722,0.0002150755,0.03619925,0.003966814,0.0000832948,0.00005939443,0.000001342676,0.00004583583,0.001556803],"genre_scores_gemma":[0.9964485,0.00004276313,0.0008796816,0.002302444,0.000003582141,0.00001100029,0.000001441008,0.000002222715,0.0003084146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6001095,"threshold_uncertainty_score":0.6577106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726609879182557,"score_gpt":0.2782998335740479,"score_spread":0.2510337347822223,"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."}}