{"id":"W2156420193","doi":"10.17411/jacces.v4i1.57","title":"WINTER: PUBLIC ENEMY #1 FOR ACCESSIBILITY EXPLORING NEW SOLUTIONS","year":2014,"lang":"en","type":"article","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Adversary; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006402608,0.00127025,0.0005026725,0.0009523795,0.00444794,0.006529783,0.001829193,0.002644686,0.06112384],"category_scores_gemma":[0.005751103,0.000400537,0.001236254,0.0008716381,0.001633661,0.003259931,0.004806052,0.002403654,0.005642018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009403319,"about_ca_system_score_gemma":0.01609991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04846659,"about_ca_topic_score_gemma":0.1194133,"domain_scores_codex":[0.9969886,0.001262001,0.00009079648,0.000247952,0.0007304088,0.0006801902],"domain_scores_gemma":[0.9957022,0.001123216,0.000206541,0.0003444901,0.001410718,0.001212829],"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":[0.0008573844,0.001933165,0.006895354,0.00575765,0.0001206188,0.001290248,0.05335559,0.004556862,0.01541571,0.06413072,0.5093321,0.3363547],"study_design_scores_gemma":[0.0001235614,0.0006344738,0.003571236,0.001172544,0.0000784057,0.0002127107,0.02570265,0.002074007,0.002494102,0.005389192,0.9584799,0.0000673412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.178332,0.004285474,0.1431747,0.06805685,0.004543628,0.01132178,0.006274666,0.007386735,0.5766242],"genre_scores_gemma":[0.4788872,0.003465375,0.200193,0.007099995,0.0005506569,0.00985756,0.004397169,0.001808387,0.2937405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06112384,"threshold_uncertainty_score":0.2044796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09903120951111437,"score_gpt":0.2984603090258929,"score_spread":0.1994290995147786,"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."}}