{"id":"W3033108318","doi":"10.1177/2043820620933860","title":"Platform philanthropy, ‘public value’, and the COVID-19 pandemic moment","year":2020,"lang":"en","type":"article","venue":"Dialogues in Human Geography","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pandemic; Geolocation; Coronavirus disease 2019 (COVID-19); Value (mathematics); Position (finance); 2019-20 coronavirus outbreak; Revenue; Moment (physics); Politics; Existentialism; Public value; Advertising; Political science; Internet privacy; Public relations; Business; Computer science; Law","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":[0.006005212,0.0003678539,0.0003921229,0.0008933724,0.009879081,0.0143082,0.002004019,0.02028487,0.00705977],"category_scores_gemma":[0.02216128,0.0002557698,0.0004585281,0.001011382,0.02506054,0.01392092,0.007091682,0.01817168,0.0008628565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006571062,"about_ca_system_score_gemma":0.006076569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008058744,"about_ca_topic_score_gemma":0.009236434,"domain_scores_codex":[0.9924056,0.003495807,0.0002192754,0.0007209603,0.001706765,0.001451655],"domain_scores_gemma":[0.9834765,0.01330745,0.0008191764,0.0005714708,0.0009770376,0.0008483503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001202944,0.000008567776,0.0001594007,0.00005123477,0.000002483365,0.0002440866,0.01482582,0.00006414131,0.00008598107,0.9158777,0.0652135,0.003455111],"study_design_scores_gemma":[0.00001178813,0.00001535716,0.0003525306,0.0003457043,0.000003949063,0.0002106209,0.02128585,0.0001604668,0.000207113,0.1061804,0.8711985,0.00002779015],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01058816,0.00493989,0.001476096,0.823233,0.006229171,0.00001581658,0.00003447336,0.00003425788,0.1534491],"genre_scores_gemma":[0.6117968,0.004537045,0.0008330108,0.3332612,0.007753597,0.00008148685,0.0000481542,0.0001116349,0.04157717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02028487,"threshold_uncertainty_score":0.04767668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091437941635608,"score_gpt":0.305774042792587,"score_spread":0.1966302486290261,"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."}}