{"id":"W4409361880","doi":"10.1609/aaai.v39i25.34860","title":"On Shallow Planning Under Partial Observability","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institute for Advanced Research","keywords":"Observability; Geology; Environmental science; Mathematics; Applied mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007077375,0.0002691473,0.0003127345,0.0001272594,0.0003113819,0.0003178671,0.002487144,0.000134675,0.00006071217],"category_scores_gemma":[0.0008978748,0.0001933055,0.0001705422,0.0007899011,0.0002908341,0.0003175717,0.0005494881,0.0004085481,0.0001075483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009338068,"about_ca_system_score_gemma":0.000213655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002940134,"about_ca_topic_score_gemma":0.00001177489,"domain_scores_codex":[0.9978476,0.0000320967,0.000521709,0.0006901072,0.0004322617,0.0004762381],"domain_scores_gemma":[0.9983834,0.0002727463,0.0002597233,0.000467336,0.0005177612,0.00009903936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006832715,0.0002031539,0.001284612,0.00003403286,0.00001732004,4.6076e-7,0.0008326082,0.0003040672,0.003995105,0.9773076,0.000305515,0.01564715],"study_design_scores_gemma":[0.00004408188,0.0002180944,0.002511146,0.0003791672,0.0000140617,0.000001207415,0.0003447173,0.07420211,0.2079782,0.7138335,0.0002272967,0.0002464825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6862819,0.00008951649,0.1301645,0.00910296,0.002373144,0.0008536523,0.000004496398,0.0003825917,0.1707473],"genre_scores_gemma":[0.9975954,0.000008377067,0.0008731438,0.0006615278,0.00006121406,0.00002954507,3.044976e-7,0.000007733887,0.0007627796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3113135,"threshold_uncertainty_score":0.7882769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019476970541713,"score_gpt":0.3230137919969241,"score_spread":0.2210660949427528,"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."}}