{"id":"W4410907218","doi":"10.21428/d82e957c.be853a08","title":"Adaptformer: Sequence Models as Adaptive Iterative Planners","year":2025,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sequence (biology); Computer science; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001008083,0.001266006,0.000879797,0.0006434697,0.000323803,0.0009991794,0.002311582,0.001246786,0.004502091],"category_scores_gemma":[0.004428956,0.0008412853,0.001100733,0.0006604645,0.00117236,0.001548215,0.002067112,0.001954355,0.0009423175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009840787,"about_ca_system_score_gemma":0.001899076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00446609,"about_ca_topic_score_gemma":0.006782781,"domain_scores_codex":[0.9993333,0.0002081923,0.00003570096,0.0001494324,0.0002135123,0.000059798],"domain_scores_gemma":[0.9988938,0.000660308,0.00009610013,0.0001481206,0.00013397,0.00006776019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003502133,0.00002157246,0.0001954531,0.00004653788,0.00001714383,0.00003490263,0.00004278244,0.9554768,0.0008998863,0.01593724,0.0009185991,0.02637405],"study_design_scores_gemma":[0.000006160144,0.00001131838,0.00001219551,0.000004883841,0.000002763023,0.000006312835,0.00000358764,0.9901455,0.0002771505,0.008881906,0.0006451638,0.000003052507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004413204,0.0001226905,0.9921523,0.000133799,0.00002841338,0.0000607828,0.00009849888,0.001156607,0.001833661],"genre_scores_gemma":[0.4105342,0.000454949,0.5803483,0.0003033089,0.00006448273,0.0009074537,0.0007468164,0.0007764292,0.005864038],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004502091,"threshold_uncertainty_score":0.01506096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306583749754431,"score_gpt":0.2757664348877761,"score_spread":0.245108059912333,"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."}}