{"id":"W4401943806","doi":"10.1109/cog60054.2024.10645649","title":"Extended Seeds in Optimization Crosswords","year":2024,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001235107,0.00005667635,0.00004814313,0.0001924515,0.00002916419,0.0003284435,0.0001260526,0.00003509054,0.000415864],"category_scores_gemma":[0.00001211213,0.00005203098,0.00002246183,0.0006684361,0.00001497771,0.0006240661,0.00004061749,0.00006487293,0.00005823286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000413335,"about_ca_system_score_gemma":0.00006186744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001279849,"about_ca_topic_score_gemma":0.00002197718,"domain_scores_codex":[0.9994496,0.00001836301,0.0001277248,0.0001991898,0.0001007454,0.0001044208],"domain_scores_gemma":[0.9997714,0.00002843194,0.000009447374,0.0001380705,0.00002230632,0.00003036525],"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":[0.000001818887,0.00002480206,0.0006912866,0.00001452481,0.00000613481,0.00002739639,0.000557125,0.3675792,0.00008907408,0.3299204,0.0008866474,0.3002015],"study_design_scores_gemma":[0.00008094418,0.000008027123,0.002957656,0.00001293957,7.058465e-7,0.00001144572,0.00001369976,0.9946083,0.0001121562,0.0008706932,0.00125318,0.00007022291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003027353,0.00005738312,0.9732006,0.001320231,0.000446171,0.00006526621,3.408693e-7,0.0004053051,0.02420192],"genre_scores_gemma":[0.7408313,0.00004199539,0.2563595,0.0002706416,0.00002873316,0.000008801843,0.000003815613,0.000005929161,0.002449199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7405286,"threshold_uncertainty_score":0.4553419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008669431223657927,"score_gpt":0.253969886965348,"score_spread":0.2453004557416901,"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."}}