{"id":"W2623409503","doi":"10.5281/zenodo.802939","title":"Segway 2.0 Application Note Scripts","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Scripting language; Benchmarking; Computer science; Directory; Artificial intelligence; Natural language processing; Programming language; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002375602,0.002824634,0.001652153,0.001939331,0.001016854,0.003247993,0.004159089,0.001715136,0.4444598],"category_scores_gemma":[0.01039175,0.002834759,0.002302103,0.001642107,0.0005071959,0.002633385,0.002561678,0.002891783,0.3211915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363546,"about_ca_system_score_gemma":0.001817967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006765197,"about_ca_topic_score_gemma":0.007082378,"domain_scores_codex":[0.998715,0.0002466996,0.0001228559,0.0004200776,0.0003252391,0.000170028],"domain_scores_gemma":[0.996555,0.001200454,0.000157739,0.000878111,0.001018999,0.0001896071],"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":[0.0003493051,0.0000540419,0.0008525137,0.0004867964,0.00008605378,0.0001033404,0.00009794948,0.001730112,0.002240429,0.002239408,0.9717947,0.01996516],"study_design_scores_gemma":[0.0005335588,0.000102394,0.004569868,0.0002683931,0.0001098516,0.0003089498,0.0001550874,0.01980759,0.01956337,0.0192507,0.9350753,0.0002549999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001735406,0.0001644243,0.07234388,0.0003192261,0.0003007841,0.0003417821,0.208798,0.6989748,0.01702177],"genre_scores_gemma":[0.01452985,0.0002058812,0.08030787,0.001066917,0.0001644288,0.002453695,0.4164853,0.449899,0.03488704],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.4444598,"threshold_uncertainty_score":0.7924107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434964130672936,"score_gpt":0.275054999642913,"score_spread":0.2307053583361836,"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."}}