{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00151284,0.0005974122,0.0001644644,0.001660102,0.002634648,0.004969052,0.0006870548,0.002912224,0.03065919],"category_scores_gemma":[0.007105533,0.0001709763,0.0005102382,0.001165053,0.001233886,0.003094828,0.00286101,0.002369645,0.003576174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451252,"about_ca_system_score_gemma":0.002117216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005545708,"about_ca_topic_score_gemma":0.008483519,"domain_scores_codex":[0.9978721,0.0003504631,0.00007911769,0.0001602871,0.001346038,0.000192007],"domain_scores_gemma":[0.9937193,0.003465833,0.0003354775,0.0002120167,0.001919294,0.0003480239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001318199,0.0001162286,0.002630386,0.001493835,0.00005152863,0.0008641026,0.002719199,0.000635462,0.004865363,0.06919438,0.523425,0.3938727],"study_design_scores_gemma":[0.000006222783,0.00007016585,0.001500716,0.0005632433,0.00002179622,0.0002157329,0.00124768,0.0001220691,0.001804495,0.004551537,0.9898759,0.00002047737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02922377,0.04396338,0.003458223,0.1485616,0.04338662,0.0001835386,0.001465795,0.0004801042,0.7292771],"genre_scores_gemma":[0.3590097,0.1650494,0.006242901,0.07460794,0.06892032,0.000306681,0.002325906,0.0007704059,0.3227668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03065919,"threshold_uncertainty_score":0.1025652,"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."}}