{"id":"W4401023606","doi":"10.24963/ijcai.2024/851","title":"InnateCoder: Learning Programmatic Options with Foundation Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Term (time); Speech recognition; Content (measure theory); Video editing; Multimedia; Mathematics","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":[0.001144621,0.0005990289,0.0005711994,0.0003454364,0.000308061,0.0007767085,0.001999829,0.001013,0.00499002],"category_scores_gemma":[0.005434848,0.0005358464,0.0007458129,0.0002012377,0.001250298,0.00264064,0.001875402,0.001792589,0.0009236821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007222376,"about_ca_system_score_gemma":0.001414126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705253,"about_ca_topic_score_gemma":0.003668995,"domain_scores_codex":[0.9994726,0.000150505,0.00002938191,0.0001748897,0.000122446,0.00005014474],"domain_scores_gemma":[0.9982534,0.00103608,0.0001318617,0.0003516895,0.0001258277,0.0001011541],"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":[0.0004637952,0.0002945764,0.004376478,0.0003568558,0.00009200322,0.000285531,0.000412787,0.5563296,0.01798447,0.06085929,0.007130124,0.3514146],"study_design_scores_gemma":[0.00003704807,0.00006537499,0.0001216565,0.00001761258,0.000007640541,0.000048797,0.00001736302,0.9758839,0.004312806,0.01751818,0.001953738,0.00001592509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04343559,0.0001268379,0.9445159,0.000227889,0.00002804309,0.00007385031,0.000163871,0.009134969,0.002292967],"genre_scores_gemma":[0.5537392,0.0001409632,0.4413836,0.0002335471,0.0000182595,0.0002216344,0.0004076328,0.00061606,0.003239133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00499002,"threshold_uncertainty_score":0.01669323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188821586908876,"score_gpt":0.2495299980683327,"score_spread":0.2276417821992439,"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."}}