{"id":"W2048425099","doi":"10.1016/j.jda.2011.03.009","title":"The three squares lemma revisited","year":2011,"lang":"en","type":"article","venue":"Journal of Discrete Algorithms","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Substring; Lemma (botany); String (physics); Combinatorics; Correctness; Mathematics; Preprocessor; Computation; Computer science; Discrete mathematics; Algorithm; Artificial intelligence; Data structure","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":[0.002410738,0.0007234122,0.001040351,0.001477911,0.001307695,0.002961771,0.001546461,0.001870407,0.01596942],"category_scores_gemma":[0.01453793,0.0005072888,0.0009601671,0.002341119,0.004659737,0.006366016,0.003280505,0.007032134,0.002778825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009626757,"about_ca_system_score_gemma":0.0009011311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149203,"about_ca_topic_score_gemma":0.001094488,"domain_scores_codex":[0.9983102,0.0006169764,0.00008346094,0.0003620793,0.0004842029,0.0001431044],"domain_scores_gemma":[0.9939075,0.004199855,0.0002166079,0.0007978364,0.000736616,0.0001416329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003452436,0.000008922217,0.0001441923,0.00004827442,0.00001578175,0.00009066115,0.00006904823,0.0007530886,0.0003840892,0.9740382,0.008949099,0.01546404],"study_design_scores_gemma":[0.00001883842,0.00001373849,0.0001685525,0.00002375627,0.00001228072,0.0002089656,0.00006598321,0.006520553,0.0006492056,0.9693071,0.02299444,0.00001650435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02438544,0.015481,0.644615,0.04545803,0.005803571,0.00006153194,0.0004763386,0.0005058586,0.2632132],"genre_scores_gemma":[0.6864712,0.01398843,0.1480867,0.01669524,0.006841823,0.0002937409,0.0005752204,0.000979424,0.1260684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01596942,"threshold_uncertainty_score":0.05342305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224341166779137,"score_gpt":0.2565605238204628,"score_spread":0.2243171121526714,"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."}}