{"id":"W6950545204","doi":"10.5683/sp2/hvogcw","title":"Accessibility Analysis and Mapping at the University of British Columbia","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wheelchair; Disadvantage; Terrain; Web accessibility; Visualization; University campus; sort","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":[0.0007141961,0.000467181,0.0005694344,0.004419542,0.002891005,0.002838137,0.001193325,0.0005034481,0.02761125],"category_scores_gemma":[0.004998261,0.0003256726,0.0003932219,0.01124773,0.0004064049,0.0008071113,0.001714193,0.0010571,0.00966091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01318781,"about_ca_system_score_gemma":0.02429128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9593019,"about_ca_topic_score_gemma":0.9774869,"domain_scores_codex":[0.9986727,0.00009479628,0.00006986481,0.0002702829,0.0006134761,0.0002789198],"domain_scores_gemma":[0.9932468,0.0004040458,0.0001911656,0.0005027765,0.005047833,0.0006072904],"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":[0.0002145634,0.0001851207,0.0750301,0.0008269893,0.00006052575,0.0005844214,0.00405564,0.002996095,0.001231573,0.005507292,0.7335501,0.1757576],"study_design_scores_gemma":[0.00004194688,0.00003345146,0.2130004,0.0006238137,0.00003327646,0.0001521432,0.007820386,0.006804562,0.001337829,0.001870561,0.7681487,0.0001329897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1141037,0.001015468,0.008384083,0.001757156,0.0001291094,0.0006710536,0.718489,0.003157553,0.1522929],"genre_scores_gemma":[0.2912515,0.001641257,0.02693818,0.0004990922,0.00003950948,0.001683327,0.5263952,0.00122576,0.1503262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04069805,"threshold_uncertainty_score":0.09568471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570662633846284,"score_gpt":0.2360893813180696,"score_spread":0.2203827549796067,"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."}}