{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002109888,0.00158903,0.002049553,0.001060122,0.0009507345,0.001832981,0.001555035,0.001871726,0.00974425],"category_scores_gemma":[0.008157174,0.0008349391,0.001454588,0.001728613,0.001665538,0.002757515,0.002386918,0.00224411,0.001751198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317187,"about_ca_system_score_gemma":0.001905537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003962159,"about_ca_topic_score_gemma":0.004662979,"domain_scores_codex":[0.9982733,0.000679334,0.00009133975,0.0004147809,0.0003640838,0.0001771973],"domain_scores_gemma":[0.9961866,0.002628954,0.0002396537,0.0003039326,0.0004477961,0.00019306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002246636,0.0002562287,0.0009434198,0.0004416493,0.00009986173,0.0002573984,0.0002987578,0.7707555,0.002301433,0.08914104,0.01055775,0.1247223],"study_design_scores_gemma":[0.00006284846,0.0001537685,0.0001680176,0.00005153534,0.00001976463,0.00007729357,0.00007153582,0.9021236,0.001371546,0.09047776,0.005399038,0.00002326072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06120537,0.001549668,0.9192888,0.000825388,0.00016102,0.0002661986,0.0004142895,0.001244499,0.01504473],"genre_scores_gemma":[0.4111865,0.0006773554,0.5703591,0.0006771362,0.000155755,0.0006047691,0.00124301,0.0009527102,0.01414367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00974425,"threshold_uncertainty_score":0.03259778,"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."}}