{"id":"W4367665486","doi":"10.1287/mnsc.2024.05295","title":"COPPAcalypse? The YouTube Settlement’s Impact on Kids’ Content","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Settlement (finance); Content (measure theory); Advertising; Computer science; Business; World Wide Web; Mathematics","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":[0.002153741,0.0002120948,0.000226408,0.001441009,0.004322633,0.005951665,0.0006422994,0.001555839,0.04377545],"category_scores_gemma":[0.01886148,0.0001728911,0.0002377296,0.001910722,0.001859804,0.004871047,0.004208826,0.00195173,0.004919709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003844915,"about_ca_system_score_gemma":0.003538317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09982665,"about_ca_topic_score_gemma":0.2291294,"domain_scores_codex":[0.9984996,0.0005774444,0.00003800851,0.0001267766,0.0003728777,0.0003852517],"domain_scores_gemma":[0.99036,0.003732877,0.0008599879,0.0004326487,0.001720398,0.002894091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008764669,0.0006015816,0.09485008,0.0005230611,0.00008855615,0.001719042,0.07818131,0.0002758061,0.001652437,0.05227458,0.6100084,0.1589486],"study_design_scores_gemma":[0.00009866786,0.0002695222,0.1904076,0.0008007253,0.00005655077,0.0003532292,0.2170866,0.0009071823,0.001471552,0.00402302,0.5844335,0.00009187599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5288157,0.00187447,0.0004257266,0.05641159,0.002305664,0.0001161124,0.004372845,0.0002711002,0.4054067],"genre_scores_gemma":[0.9377469,0.0009063674,0.0004598848,0.003516413,0.000504998,0.0001034694,0.001617587,0.0002380008,0.05490627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09982665,"threshold_uncertainty_score":0.1984912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103901479357045,"score_gpt":0.3780197652164851,"score_spread":0.2676296172807807,"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."}}