{"id":"W6942496109","doi":"10.14288/1.0444875","title":"Redesign of 16th Avenue / SW Marine Drive Intersection","year":2024,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Point (geometry); Pedestrian; Public transport; Occupancy; Transit (satellite); Hazard","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001604344,0.001083513,0.0006288101,0.001627863,0.00272558,0.004299864,0.003119185,0.001758567,0.02551966],"category_scores_gemma":[0.002670978,0.0007122525,0.001231802,0.001121228,0.0007916183,0.001917341,0.004182687,0.001846757,0.01207431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002662717,"about_ca_system_score_gemma":0.006677558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0237888,"about_ca_topic_score_gemma":0.04412027,"domain_scores_codex":[0.9954465,0.0006321878,0.0002582031,0.000544997,0.002112733,0.001005356],"domain_scores_gemma":[0.9976125,0.0000926256,0.0001192791,0.0003480937,0.001338702,0.0004888436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001244105,0.002909014,0.07779343,0.0008377101,0.0001429101,0.005150494,0.004389371,0.04840813,0.04144903,0.05782809,0.1051578,0.6546899],"study_design_scores_gemma":[0.0001178269,0.001760555,0.03059686,0.0002739016,0.000142482,0.001640753,0.005538973,0.02973317,0.02649989,0.002907977,0.9005096,0.0002780046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4563945,0.0007309437,0.1618219,0.002152452,0.003228642,0.002874175,0.002249911,0.007662117,0.3628854],"genre_scores_gemma":[0.6246491,0.0006446542,0.1786097,0.0006102992,0.0002315304,0.001359752,0.005239106,0.001118896,0.187537],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9762112,"threshold_uncertainty_score":0.08537179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00575210648761262,"score_gpt":0.1658084123242487,"score_spread":0.160056305836636,"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."}}