{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004622731,0.000415611,0.0002328233,0.0009294912,0.004273667,0.006809746,0.0007288525,0.001214443,0.003650663],"category_scores_gemma":[0.01494923,0.0003387189,0.000330484,0.0004094474,0.003864298,0.006587875,0.004843766,0.00170333,0.0005728296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007465908,"about_ca_system_score_gemma":0.0009666778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106357,"about_ca_topic_score_gemma":0.003508126,"domain_scores_codex":[0.9970087,0.002239414,0.00007297165,0.000149548,0.0002764879,0.0002528538],"domain_scores_gemma":[0.9945285,0.003486044,0.0004962446,0.0005986564,0.0003715076,0.0005190214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003269788,0.0003395937,0.02646129,0.0004248882,0.00003538283,0.001725371,0.6663157,0.0002874652,0.004304096,0.04059337,0.01038793,0.2487979],"study_design_scores_gemma":[0.00002913465,0.0007018645,0.02635192,0.0009193829,0.0001231098,0.003005854,0.5026754,0.001306505,0.003574123,0.01354242,0.4476409,0.0001294553],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217541,0.001170486,0.007110485,0.004903117,0.0005653144,0.0001039728,0.00006225512,0.0002079698,0.06412229],"genre_scores_gemma":[0.9883179,0.0005974304,0.004623283,0.0008266951,0.00009537664,0.00005025526,0.00002901335,0.00009860544,0.005361341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006809746,"threshold_uncertainty_score":0.02444762,"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."}}