{"id":"W4234197149","doi":"10.1017/9781139568395.027","title":"End-Of-Line Word Division","year":2019,"lang":"en","type":"other","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Word (group theory); Division (mathematics); Line (geometry); Computer science; Arithmetic; Linguistics; Mathematics; Philosophy; Geometry","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":[0.00009424617,0.0001899197,0.000276017,0.0002637846,0.000005436963,0.00002035429,0.001110747,0.0002022199,0.0003587318],"category_scores_gemma":[0.000002570374,0.0001609256,0.00007386591,0.000164385,0.00001792254,0.00005751887,0.0004436791,0.0001334937,0.0001890974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001791181,"about_ca_system_score_gemma":0.00003478881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001028431,"about_ca_topic_score_gemma":0.000006037287,"domain_scores_codex":[0.9990737,0.00001412275,0.0001647889,0.0003341228,0.000257422,0.000155805],"domain_scores_gemma":[0.9986758,0.00002633058,0.000109205,0.001125666,0.00002337926,0.00003967291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[3.54445e-7,0.0000253549,0.00002359161,0.00008756236,0.00001945576,0.000003385102,0.00002363842,0.00007376867,0.00003828021,0.2642459,0.4385679,0.2968908],"study_design_scores_gemma":[0.00005860967,0.00003495372,0.00001218188,0.000226956,0.000002329651,0.000001071486,5.346535e-8,0.01114223,0.0004968956,0.0002767281,0.9875534,0.0001945693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[6.726432e-7,0.0001739762,0.8187394,0.00003791149,0.000352024,0.0001669705,0.000004252583,0.001877093,0.1786477],"genre_scores_gemma":[0.0002117139,0.00003539406,0.583748,0.00002168373,0.00003643655,0.000005290111,0.000003360182,0.0001031988,0.415835],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5489855,"threshold_uncertainty_score":0.6562354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499375450322564,"score_gpt":0.2531552511929848,"score_spread":0.2381614966897591,"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."}}