{"id":"W4388264823","doi":"10.1145/3630614.3630616","title":"The Dirty Secret of SSDs: Embodied Carbon","year":2023,"lang":"en","type":"article","venue":"ACM SIGEnergy Energy Informatics Review","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scalability; Computer science; Sustainability; Reuse; Greenhouse gas; Process engineering; Nanotechnology; Engineering; Waste management; Operating system; Materials science","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":[0.0004305594,0.0004650293,0.0002687251,0.0006099191,0.0007094385,0.003114006,0.0006348321,0.001591696,0.005430957],"category_scores_gemma":[0.001553556,0.0002136218,0.0002268484,0.0008775285,0.001673677,0.004161301,0.001238856,0.0009204008,0.0005574912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001899475,"about_ca_system_score_gemma":0.001031871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002445296,"about_ca_topic_score_gemma":0.004793902,"domain_scores_codex":[0.9995438,0.00007367594,0.00001368931,0.00006343702,0.0002337523,0.00007148438],"domain_scores_gemma":[0.9994751,0.0002269317,0.00005528664,0.00007657323,0.0001287697,0.00003742466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001375844,0.000102762,0.005199104,0.0008276093,0.00006265123,0.0006451996,0.0004641711,0.04698704,0.03004503,0.739333,0.00633672,0.1698591],"study_design_scores_gemma":[0.00002010619,0.0003433691,0.006330552,0.000670116,0.0000685363,0.0009136953,0.002136502,0.08193794,0.06514235,0.6289299,0.2133819,0.0001249897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4100741,0.04296861,0.1485394,0.02057606,0.001307399,0.0001506949,0.001262556,0.000306936,0.3748142],"genre_scores_gemma":[0.9579412,0.009782252,0.01203452,0.0003382636,0.0001106312,0.000044936,0.0001612923,0.00005179279,0.01953491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005430957,"threshold_uncertainty_score":0.01816839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349750933761285,"score_gpt":0.2706835783539496,"score_spread":0.2471860690163368,"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."}}