{"id":"W4399986584","doi":"10.48550/arxiv.2406.14662","title":"Advantage Alignment Algorithms","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002449821,0.001680025,0.001578387,0.002063934,0.00138728,0.002652447,0.003054564,0.00254739,0.01409415],"category_scores_gemma":[0.01129047,0.000738456,0.001472629,0.001582621,0.001603552,0.003514341,0.004107397,0.002686762,0.003814064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129837,"about_ca_system_score_gemma":0.002316959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362623,"about_ca_topic_score_gemma":0.001763626,"domain_scores_codex":[0.9978842,0.0006566974,0.0001364513,0.0005553868,0.0005010061,0.0002661557],"domain_scores_gemma":[0.9955623,0.002604882,0.0003500334,0.000773838,0.0004817873,0.0002272005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000274891,0.000320561,0.003212942,0.0002773804,0.0001856861,0.0001691998,0.0003500246,0.2879728,0.003148479,0.2183613,0.01804478,0.4676819],"study_design_scores_gemma":[0.00009376706,0.00008713652,0.0002682699,0.00004661907,0.00004015233,0.0001527731,0.00008429298,0.8036816,0.001780484,0.1851857,0.008554753,0.00002455996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01245248,0.0004489031,0.9706491,0.0004201996,0.0001467736,0.0002369455,0.0001589732,0.001359363,0.01412718],"genre_scores_gemma":[0.3456319,0.0004960333,0.6368008,0.0007282906,0.0002240888,0.000922918,0.0008872324,0.0008597186,0.01344902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01409415,"threshold_uncertainty_score":0.0471496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04545102812900632,"score_gpt":0.19059349349556,"score_spread":0.1451424653665536,"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."}}