{"id":"W4300967899","doi":"10.52843/cassyni.tpt6mp","title":"Open Source Decarbonization for a Sustainable World","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Electrification; Renewable energy; Fossil fuel; Environmental economics; Sustainable energy; Coal; Open source; Natural resource economics; Energy source; Environmental science; Business; Waste management; Computer science; Engineering; Economics; Electricity; Electrical engineering","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":[0.003251381,0.001933868,0.0007076153,0.002193605,0.0009445593,0.00510816,0.002178736,0.003489276,0.09495814],"category_scores_gemma":[0.01560329,0.0006808608,0.001328822,0.003252448,0.001572321,0.006937857,0.007778034,0.003861032,0.05995646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102738,"about_ca_system_score_gemma":0.001958288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005229808,"about_ca_topic_score_gemma":0.0004289675,"domain_scores_codex":[0.996595,0.0004281258,0.0001968238,0.0003891111,0.00207261,0.0003183084],"domain_scores_gemma":[0.9908254,0.001976617,0.0005009945,0.00393258,0.002116472,0.0006479058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002300979,0.0002026386,0.0006219785,0.00150152,0.00008515841,0.0004819958,0.0004824327,0.004639156,0.01199902,0.2035256,0.3774464,0.398784],"study_design_scores_gemma":[0.00004347576,0.0000283694,0.0005893717,0.0003082981,0.0000155253,0.0002737442,0.00007418681,0.005150737,0.006686339,0.09895601,0.8878289,0.00004496123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005942739,0.00400777,0.5163836,0.0140038,0.007035331,0.0004947522,0.01003828,0.1022537,0.33984],"genre_scores_gemma":[0.1020094,0.01442443,0.3885036,0.003567752,0.005103684,0.001467103,0.06690993,0.1223393,0.2956747],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09495814,"threshold_uncertainty_score":0.3176666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142393136174424,"score_gpt":0.2584045895909302,"score_spread":0.236980658229186,"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."}}