{"id":"W4417137941","doi":"10.1016/j.artint.2025.104468","title":"Is DIBBS a DXBB algorithm?","year":2025,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Science, Technology and Space; Israel Science Foundation; Israel National Road Safety Authority; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001290952,0.0004283105,0.0009384128,0.0004249037,0.0007631316,0.0023169,0.001178852,0.001972062,0.01878709],"category_scores_gemma":[0.005090995,0.0003632224,0.000362278,0.0008274403,0.001355964,0.003015324,0.0009115274,0.001580487,0.004441996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023831,"about_ca_system_score_gemma":0.00152323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004557135,"about_ca_topic_score_gemma":0.004288709,"domain_scores_codex":[0.9993287,0.0001698285,0.00004025357,0.0002093863,0.0001737775,0.00007803604],"domain_scores_gemma":[0.9987912,0.0004358336,0.0000740603,0.0002286545,0.0003801611,0.00009014258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004728881,0.00007870135,0.002085034,0.0002287452,0.0001068409,0.00006126089,0.000116986,0.05512128,0.005246167,0.4380263,0.02431789,0.474138],"study_design_scores_gemma":[0.0001302521,0.0001212186,0.0009034789,0.0001008763,0.00005240979,0.0001990987,0.0001035447,0.411438,0.005273375,0.5314357,0.05019763,0.00004430691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03142541,0.001956717,0.901276,0.01039134,0.001260785,0.00006223955,0.0003101546,0.001275863,0.05204152],"genre_scores_gemma":[0.5295767,0.002272296,0.39315,0.003485893,0.0005716875,0.0001205058,0.0005266179,0.0004640416,0.06983235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01878709,"threshold_uncertainty_score":0.06284904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424956853882732,"score_gpt":0.3096793767285582,"score_spread":0.2754298081897309,"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."}}