{"id":"W2263102084","doi":"10.4271/2005-01-3066","title":"MELISSA: Overview of the Project and Perspectives","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Green IT and Sustainability","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005276143,0.0005443331,0.000732747,0.0001218623,0.000224998,0.00005207551,0.0007585885,0.0004829733,0.0002236642],"category_scores_gemma":[0.0005952719,0.0003852002,0.0003904581,0.0007125601,0.001194636,0.0003728075,0.0003832965,0.000967463,0.0000124196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003241331,"about_ca_system_score_gemma":0.0000829522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000443316,"about_ca_topic_score_gemma":0.04342015,"domain_scores_codex":[0.9972524,0.0001281837,0.0007255981,0.0006672498,0.0005907728,0.0006357668],"domain_scores_gemma":[0.9981143,0.0002782955,0.0001015515,0.001225505,0.0001210006,0.0001593402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001249141,0.0003035646,0.000888184,0.0003506507,0.00008066626,0.000008624646,0.0003983898,0.00007920554,0.9441368,0.03336762,0.003685231,0.01657617],"study_design_scores_gemma":[0.0003798346,0.0003013882,0.9419221,0.0001419667,0.00006273237,0.0000401193,0.0006518006,4.252956e-7,0.0001829987,0.001714684,0.05419014,0.0004118326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223335,0.006561386,4.73831e-7,0.006325662,0.0001490229,0.001534192,0.00006082859,0.001994986,0.06103995],"genre_scores_gemma":[0.9966497,0.001349292,0.001053608,0.0003060226,0.0001132752,0.0001511838,0.00000325564,0.00008100766,0.0002926264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9439538,"threshold_uncertainty_score":0.99986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924527244113324,"score_gpt":0.2574753362279228,"score_spread":0.2382300637867896,"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."}}