{"id":"W4413319378","doi":"10.1109/arso64737.2025.11124974","title":"Improving Configuration Space Reconstruction through Multimodal Generative Models with Local Critics","year":2025,"lang":"en","type":"article","venue":"","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generative grammar; Computer science; Space (punctuation); Generative model; Artificial intelligence; Computer vision","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":[0.001119363,0.001546128,0.001291172,0.0007088079,0.0005653557,0.001071132,0.001937099,0.001672062,0.00290301],"category_scores_gemma":[0.003973709,0.001041839,0.001196888,0.0006236355,0.001619149,0.001552971,0.002597753,0.002556383,0.000707982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159954,"about_ca_system_score_gemma":0.001088791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008867557,"about_ca_topic_score_gemma":0.01029817,"domain_scores_codex":[0.9995556,0.0001544066,0.00001507306,0.0001280427,0.00009408814,0.00005271167],"domain_scores_gemma":[0.9988096,0.000732762,0.0001091789,0.0001577739,0.0001037206,0.00008697143],"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":[0.00002743308,0.00001751247,0.0004346957,0.0000208276,0.00003604951,0.00006503335,0.00004945953,0.9737735,0.0009482456,0.008503891,0.000793196,0.01533016],"study_design_scores_gemma":[0.000002148013,0.000003860844,0.00001884699,0.000002621244,0.000002085902,0.000007526981,0.000002848258,0.9972616,0.000140518,0.00243337,0.0001223647,0.000002201423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01899011,0.0002363369,0.9775544,0.0002357372,0.00003662718,0.00002441798,0.00006600839,0.0008386857,0.002017753],"genre_scores_gemma":[0.7637035,0.0002779643,0.2276579,0.0004622208,0.00007468044,0.0001688562,0.0005103516,0.0006408964,0.006503707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008867557,"threshold_uncertainty_score":0.01763189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503635350309684,"score_gpt":0.284809879058755,"score_spread":0.2697735255556582,"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."}}