{"id":"W2250176460","doi":"10.18653/v1/w15-22","title":"Proceedings of the 14th International Conference on Parsing Technologies","year":2015,"lang":"en","type":"paratext","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parsing; Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001961946,0.0002102357,0.0002242394,0.0001912618,0.0000516417,0.0002559794,0.004472012,0.0003074647,0.00005602566],"category_scores_gemma":[0.0001402412,0.0001221524,0.00006451207,0.0003409831,0.000156933,0.0002948158,0.001281149,0.0005516725,0.00009621392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109654,"about_ca_system_score_gemma":0.0001931087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001559107,"about_ca_topic_score_gemma":0.000001087956,"domain_scores_codex":[0.9986097,0.000007584942,0.0002344919,0.0003927213,0.0005801043,0.0001754492],"domain_scores_gemma":[0.9985264,0.00002097708,0.0003637347,0.0003627493,0.0007065019,0.00001962902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004556247,0.00002819328,0.000006607205,0.00005481015,0.00001731533,6.626368e-7,0.0001576094,5.704586e-7,0.001800471,0.3480898,0.6232287,0.02661069],"study_design_scores_gemma":[0.000295857,0.0002407409,0.000006417861,0.002911117,0.00001800364,0.00005273308,0.0004530493,0.00462002,0.532514,0.3014396,0.1565295,0.0009189885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.000120764,0.001754615,0.03032007,0.01012962,0.003216916,0.0004586156,0.0000203122,0.001414931,0.9525642],"genre_scores_gemma":[0.2050048,0.000298042,0.6077155,0.0005348538,0.0002427706,0.00006786319,0.00001275661,0.00004274246,0.1860807],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7664834,"threshold_uncertainty_score":0.8310185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03956609107596272,"score_gpt":0.3092903828382257,"score_spread":0.269724291762263,"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."}}