{"id":"W4246555955","doi":"10.1007/978-0-387-68852-7_9","title":"Multiline math displays","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001557257,0.000213996,0.0001856637,0.0001176132,0.00007336411,0.00005518982,0.0009827402,0.000230537,0.0001995572],"category_scores_gemma":[0.000004319289,0.0001855442,0.0001012451,0.00003954115,0.00005951866,0.0000975596,0.0003872467,0.0002631646,0.001896745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006644685,"about_ca_system_score_gemma":0.00004788828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001982932,"about_ca_topic_score_gemma":0.00006063873,"domain_scores_codex":[0.998763,0.000003104041,0.0002829427,0.0004588232,0.0002988331,0.0001932548],"domain_scores_gemma":[0.9984817,0.00006970314,0.0001288151,0.001136838,0.00007110003,0.0001118294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[4.765436e-7,0.00001342282,2.616071e-7,0.000006733959,0.00001548672,0.000007856606,0.00001897745,0.000007968954,0.000007637992,0.9716737,0.00409647,0.02415103],"study_design_scores_gemma":[0.0001056359,0.00001554127,0.00001522626,0.00002935824,0.00001285033,0.00001992559,0.000001251719,0.03743667,0.0000567672,0.04219197,0.9198277,0.0002870809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[1.592727e-7,0.00003435171,0.5032173,0.0003537985,0.00006206908,0.0001340614,0.000008991832,0.0001828303,0.4960064],"genre_scores_gemma":[0.0001241413,0.00005385026,0.05799811,0.0006774903,0.0001133295,0.000009950792,0.0000443414,0.00002414579,0.9409546],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9294817,"threshold_uncertainty_score":0.9988804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04485320470853724,"score_gpt":0.2892353704924446,"score_spread":0.2443821657839073,"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."}}