{"id":"W1992800733","doi":"10.1016/j.jda.2012.03.003","title":"More results on overlapping squares","year":2012,"lang":"en","type":"article","venue":"Journal of Discrete Algorithms","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"String (physics); Computer science; Least-squares function approximation; Combinatorics; Algorithm; Mathematics; Statistics; Mathematical physics","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":[0.002109768,0.002002574,0.002287543,0.001875589,0.001232487,0.001531117,0.00226905,0.001649246,0.0322426],"category_scores_gemma":[0.01180742,0.001022078,0.001769894,0.004818847,0.002091748,0.006365859,0.004755394,0.005767488,0.005837786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008616692,"about_ca_system_score_gemma":0.0006536149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002095406,"about_ca_topic_score_gemma":0.002425236,"domain_scores_codex":[0.9975978,0.0006314337,0.0001220819,0.0005474167,0.0009376814,0.0001635501],"domain_scores_gemma":[0.9934732,0.002954195,0.0002225033,0.002134911,0.0009542213,0.0002609129],"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":[0.000394324,0.0002124118,0.0010269,0.0008928542,0.0002277109,0.0002772016,0.0003604541,0.03567548,0.01002423,0.4258628,0.0497606,0.475285],"study_design_scores_gemma":[0.00007482262,0.0001282428,0.00139057,0.0001455811,0.0001633094,0.0006247775,0.0001664248,0.1290253,0.007273796,0.7480766,0.1128449,0.00008571276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01138041,0.006288641,0.9217164,0.002966048,0.001937001,0.00004941186,0.0003603204,0.0008094971,0.05449229],"genre_scores_gemma":[0.1971853,0.007359324,0.6716205,0.004123867,0.005129189,0.000258708,0.001794633,0.002835557,0.1096928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0322426,"threshold_uncertainty_score":0.1078622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257373619451643,"score_gpt":0.2906407406978807,"score_spread":0.2680670045033642,"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."}}