{"id":"W3217094571","doi":"10.14288/1.0343076","title":"UBC Chancellor Boulevard & East Mall Intersection Redesign","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Boulevard; Intersection (aeronautics); Computer science; Political science; Geography; Cartography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000399337,0.00007175963,0.00009784715,0.00004973458,0.01337203,0.002923835,0.000431326,0.0000806087,0.002049668],"category_scores_gemma":[0.0001416937,0.00008039714,0.0000432436,0.0002588036,0.0001213785,0.000874673,0.00002613438,0.00009896495,0.00006587858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016254,"about_ca_system_score_gemma":0.000194302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03360531,"about_ca_topic_score_gemma":0.08616742,"domain_scores_codex":[0.9992399,0.00008303386,0.0001382868,0.0002044206,0.0001577931,0.0001766242],"domain_scores_gemma":[0.9993508,0.00002359992,0.0001472811,0.0002537518,0.0001381584,0.00008637831],"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":[0.0001723804,0.0001887989,0.002250029,0.00000655903,0.00006757786,0.000004688902,0.01434231,0.002484859,0.000154914,0.005934313,0.9720771,0.002316409],"study_design_scores_gemma":[0.0005443282,0.00004595637,0.003957179,0.00003916082,0.00003298954,0.000001867026,0.003722528,0.0003191037,0.00005349604,0.001118351,0.9899558,0.0002091997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001233664,0.000005932875,0.02630329,0.002351629,0.001659876,0.0005235976,0.00002296763,0.0001097951,0.9677892],"genre_scores_gemma":[0.2643268,0.00003394725,0.003728021,0.00009534087,0.0002159698,0.00009581583,0.0000349443,0.00001131621,0.7314579],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2630931,"threshold_uncertainty_score":0.9988626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07616231364335617,"score_gpt":0.3442155523913704,"score_spread":0.2680532387480142,"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."}}