{"id":"W6931503837","doi":"10.5281/zenodo.4778833","title":"OSeMOSYS/OSeMOSYS_GNU_MathProg: Bugfix - Fixed problem with technology specific discount rate","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"","keywords":"Selection (genetic algorithm); Process (computing); Work (physics); Product (mathematics)","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":[0.001316395,0.00207359,0.0008597723,0.001242595,0.0006525664,0.001914555,0.003433687,0.002100214,0.1709765],"category_scores_gemma":[0.006318896,0.0009846672,0.001200868,0.001022301,0.0009967558,0.002511413,0.002234319,0.002524605,0.05999838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577024,"about_ca_system_score_gemma":0.001550185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00444454,"about_ca_topic_score_gemma":0.006499302,"domain_scores_codex":[0.9991699,0.0001652096,0.00004725058,0.0002038504,0.0002487722,0.000164877],"domain_scores_gemma":[0.998814,0.0004157194,0.00007793814,0.0003965139,0.0002122655,0.0000834611],"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":[0.0005856584,0.0001638704,0.001182524,0.0005589367,0.0000742049,0.0002450369,0.0001477316,0.02686397,0.003925875,0.2455892,0.5440869,0.1765763],"study_design_scores_gemma":[0.0006773649,0.00005501119,0.0005608964,0.0001559519,0.00005502299,0.0003953639,0.00005342704,0.2561379,0.02532572,0.2771617,0.439287,0.0001345671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008064858,0.0004590476,0.617918,0.001724527,0.001122252,0.0002336526,0.01309728,0.2507445,0.1066359],"genre_scores_gemma":[0.1618785,0.0004229076,0.5939741,0.0009000489,0.000297661,0.0007292514,0.01732252,0.111018,0.1134571],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1709765,"threshold_uncertainty_score":0.5719734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05707241816176991,"score_gpt":0.2772338001001256,"score_spread":0.2201613819383557,"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."}}