{"id":"W1501211454","doi":"10.1007/978-90-481-3658-2_79","title":"Testing Grammars For Top-Down Parsers","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Programming language; Compiler; Parsing; Rule-based machine translation; Compiler construction; Grammar; Implementation; Natural language processing; Linguistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003361102,0.0003675407,0.0003563424,0.0001924161,0.0001519908,0.0002123487,0.001099028,0.0002824718,0.00001378388],"category_scores_gemma":[0.0004777354,0.0003394313,0.0001787674,0.0000695101,0.0000453255,0.0001397005,0.0001943897,0.0002489288,0.00003838069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006354068,"about_ca_system_score_gemma":0.0001215877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003677757,"about_ca_topic_score_gemma":0.000003147823,"domain_scores_codex":[0.9983264,0.00000737203,0.0003426646,0.0006797619,0.0002658349,0.0003780307],"domain_scores_gemma":[0.9976442,0.0008896134,0.0002108726,0.0009142902,0.000224208,0.0001167667],"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":[0.000001499463,0.000006944859,0.00002388576,0.0000212423,0.00001097532,0.00001445409,0.00001748164,0.00000282323,0.000003508129,0.2984169,0.09526873,0.6062116],"study_design_scores_gemma":[0.00009582789,0.0002272815,0.00001720887,0.0002362402,0.00001587427,0.00003924606,1.924053e-7,0.003898696,0.00003839777,0.843969,0.1509891,0.0004728823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[6.74108e-7,0.0001192063,0.5223918,0.0003347931,0.0002133906,0.0003478126,0.000003962028,0.01891966,0.4576687],"genre_scores_gemma":[0.0001563594,0.000006178157,0.7804074,0.001044128,0.0001596322,0.00002348221,0.000008898347,0.00003564937,0.2181583],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6057387,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305605321261801,"score_gpt":0.2653031525672882,"score_spread":0.2122470993546702,"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."}}