{"id":"W7006445989","doi":"","title":"Values based investing","year":2024,"lang":"en","type":"preprint","venue":"University Library (University of Saskatchewan)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Saskatchewan","funders":"","keywords":"Publishing; Dominance (genetics); Offset (computer science); Project commissioning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009107061,0.0003305744,0.000408794,0.001023167,0.0003027582,0.0003362999,0.002662481,0.0003303769,0.0002672866],"category_scores_gemma":[0.000008831144,0.00044272,0.0003609264,0.00130062,0.0002505858,0.002758801,0.007724364,0.0006166062,0.0001119097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008985827,"about_ca_system_score_gemma":0.002121474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000328105,"about_ca_topic_score_gemma":0.0000532248,"domain_scores_codex":[0.9981742,0.0001183292,0.0001637401,0.0008253237,0.0004075284,0.0003108954],"domain_scores_gemma":[0.9986309,0.0001575744,0.0002350031,0.0006642046,0.00005638491,0.0002559449],"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":[0.001084921,0.001473952,0.05434534,0.008696728,0.003053416,0.009887168,0.3302626,0.01127466,0.0004015881,0.05895894,0.4526527,0.06790801],"study_design_scores_gemma":[0.004391106,0.0005813401,0.00862121,0.004151203,0.0005766974,0.00003050766,0.1446366,0.1593996,0.005527193,0.2687167,0.3975291,0.005838764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5588608,0.0008431208,0.07362866,0.01669391,0.002266875,0.001011099,0.0003787414,0.005734528,0.3405822],"genre_scores_gemma":[0.7476006,0.0000473167,0.1126907,0.0002651648,0.00007478579,6.58937e-8,0.0001055314,0.0000319591,0.1391839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2097577,"threshold_uncertainty_score":0.9998025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279528814404467,"score_gpt":0.1654546091168704,"score_spread":0.1526593209728258,"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."}}