{"id":"W7074201359","doi":"","title":"Analysis and Insights from the PARSEME Shared Task dataset","year":2018,"lang":"en","type":"other","venue":"Arrow@dit (Dublin Institute of Technology)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"European Regional Development Fund; Deutsche Forschungsgemeinschaft; Science Foundation Ireland","keywords":"Task (project management); Set (abstract data type); Identification (biology); Contrast (vision); Test (biology); Range (aeronautics); Cover (algebra); Baseline (sea)","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":[0.004661942,0.001760914,0.001211928,0.004108936,0.001585161,0.001951159,0.0027188,0.002837187,0.003498888],"category_scores_gemma":[0.01758805,0.0004502403,0.001381153,0.003990634,0.001175589,0.002870219,0.00374428,0.002541202,0.00494555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001949192,"about_ca_system_score_gemma":0.002084626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0236746,"about_ca_topic_score_gemma":0.04996237,"domain_scores_codex":[0.9909079,0.002281558,0.0007526472,0.001780094,0.003495361,0.0007824381],"domain_scores_gemma":[0.9877849,0.005357711,0.0005966306,0.002322554,0.003257092,0.0006811353],"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":[0.00185025,0.001733468,0.0318262,0.003193133,0.0005558243,0.001709181,0.002480232,0.01394706,0.01447953,0.004761205,0.8064432,0.1170208],"study_design_scores_gemma":[0.0009186676,0.00138011,0.2131175,0.0005526219,0.0002623081,0.002883362,0.005866378,0.0977608,0.02257664,0.008371199,0.6457132,0.0005972032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2713593,0.00345942,0.01379504,0.003385348,0.0009469449,0.0007104067,0.6754819,0.01533602,0.01552572],"genre_scores_gemma":[0.1001083,0.0002456248,0.009218772,0.0004343405,0.0001161997,0.0007348966,0.8851094,0.0007126353,0.003319832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0236746,"threshold_uncertainty_score":0.0470736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172386498433492,"score_gpt":0.2608378641005028,"score_spread":0.2435992142571536,"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."}}