{"id":"W3093454039","doi":"10.1525/001c.17242","title":"Streaming Media’s Environmental Impact","year":2020,"lang":"en","type":"article","venue":"Media+Environment","topic":"Green IT and Sustainability","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Carbon footprint; Movie theater; Ecological footprint; Greenhouse gas; Digital media; Social media; Media studies; Computer science; Sociology; Political science; History; World Wide Web; Sustainable development; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001048057,0.0002883284,0.0002620173,0.0000365883,0.00005222321,0.00002022934,0.0002064462,0.0001007275,0.002744226],"category_scores_gemma":[0.00003202022,0.0002694577,0.0001394758,0.00004781298,0.000104157,0.0001244744,0.0001027573,0.0002530894,0.000782764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004526496,"about_ca_system_score_gemma":0.00001044214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009264723,"about_ca_topic_score_gemma":0.000001634474,"domain_scores_codex":[0.9985188,0.0000324478,0.0002725233,0.0003146068,0.0003957417,0.0004659328],"domain_scores_gemma":[0.9991339,0.00008146049,0.00002699696,0.0003091376,0.000001363464,0.0004471088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001557821,0.0006611609,0.3717688,0.0004191351,0.0005916681,0.0006608233,0.05011509,0.1696668,0.04473676,0.0001129655,0.01117158,0.3499394],"study_design_scores_gemma":[0.002749333,0.0004366244,0.8109779,0.00002577796,0.0001906054,0.00002090907,0.006327352,0.07552706,0.0118467,0.000820203,0.08893023,0.002147245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995831,0.0007712537,0.001551985,0.0002971936,0.0001589634,0.0002543529,0.00008725883,0.000216251,0.0008318154],"genre_scores_gemma":[0.9987808,0.0002683078,0.0003779189,0.0000837076,0.0003052851,0.00002641758,0.00008586899,0.00005432377,0.00001730442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4392091,"threshold_uncertainty_score":0.9999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007560770048159734,"score_gpt":0.1714555647462864,"score_spread":0.1638947946981267,"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."}}