{"id":"W4416779880","doi":"10.3390/ai6120310","title":"Persona, Break Glass, Name Plan, Jam (PBNJ): A New AI Workflow for Planning and Problem Solving","year":2025,"lang":"en","type":"article","venue":"AI","topic":"Persona Design and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workflow; Key (lock); Generative grammar; Point (geometry); Automated planning and scheduling; Work (physics)","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":[0.006397895,0.0006882082,0.0003084666,0.001027589,0.001957029,0.003174357,0.001888478,0.001145824,0.005293497],"category_scores_gemma":[0.01202405,0.0006126398,0.0005611302,0.0005980885,0.002532128,0.004265698,0.004353089,0.001675083,0.002627258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203894,"about_ca_system_score_gemma":0.003805906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141755,"about_ca_topic_score_gemma":0.004534214,"domain_scores_codex":[0.9964619,0.002168894,0.0002029191,0.0004881884,0.000509869,0.0001682561],"domain_scores_gemma":[0.9917513,0.003842449,0.0005310456,0.00198404,0.0006901349,0.001201059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006509049,0.00293445,0.01915807,0.001225801,0.00007199939,0.0009611791,0.1075373,0.00510447,0.02923979,0.09909368,0.02759519,0.7064271],"study_design_scores_gemma":[0.0005242047,0.002969066,0.01630976,0.0006163648,0.0001597318,0.00500396,0.03151057,0.04046399,0.02785419,0.0904396,0.7836269,0.0005216718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1381316,0.0003538619,0.8103712,0.00240961,0.0003186938,0.001270546,0.0003046914,0.009407895,0.03743188],"genre_scores_gemma":[0.1512873,0.0002299101,0.8349354,0.0004037601,0.00002576489,0.0008938796,0.0003464379,0.0007067074,0.01117076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006397895,"threshold_uncertainty_score":0.03383565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201933336079103,"score_gpt":0.2784666204487632,"score_spread":0.2582732868408529,"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."}}