{"id":"W4210642531","doi":"10.1177/14614448211072257","title":"The year of the “virtual date”: Reimagining dating app affordances during the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"New Media & Society","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Dalhousie University; Concordia University","funders":"","keywords":"Affordance; Avatar; Pandemic; Scripting language; Coronavirus disease 2019 (COVID-19); Social media; Sociology; Internet privacy; Psychology; World Wide Web; Computer science; Human–computer interaction","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":[0.001445698,0.0001435848,0.0001834534,0.00001502013,0.001287761,0.00002383691,0.001291448,0.0001031991,0.0006408797],"category_scores_gemma":[0.000334564,0.00007516328,0.0001750547,0.0003883823,0.0006481644,0.00004266204,0.0006774738,0.001107527,0.00001119163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059586,"about_ca_system_score_gemma":0.0002324144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000722532,"about_ca_topic_score_gemma":0.0003121812,"domain_scores_codex":[0.9981481,0.0003757991,0.0003326262,0.0003302716,0.0004151791,0.0003980364],"domain_scores_gemma":[0.9975863,0.001150474,0.0002800881,0.000894447,0.00002077801,0.00006793318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009656671,0.0001368874,0.5633528,0.00002641918,0.0002957192,0.000007702252,0.2135463,0.00005630985,0.007088898,0.04677416,0.1371658,0.03145239],"study_design_scores_gemma":[0.001736027,0.00007594212,0.04129744,0.00000709895,0.0000944151,0.00009057183,0.3381724,0.00003174806,0.0002930198,0.00206285,0.6158996,0.0002389367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872779,0.0009722044,0.00004663207,0.006388512,0.002870469,0.0003229176,0.00004849923,0.0002111442,0.001861721],"genre_scores_gemma":[0.991273,0.0001223444,0.0001321898,0.001776771,0.0004391033,0.000121286,0.00001407375,0.00003099295,0.006090168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5220554,"threshold_uncertainty_score":0.9904547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06885263677139837,"score_gpt":0.3558400919724199,"score_spread":0.2869874552010215,"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."}}