{"id":"W7067436283","doi":"","title":"Making Hamilton's streets safer for pedestrians and cyclists","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAFER; Unemployment; Indigenous; Recession; Key (lock)","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":[0.0002697671,0.000328294,0.0001658816,0.0005214601,0.005150956,0.002356362,0.0005903629,0.002875212,0.2173044],"category_scores_gemma":[0.001123872,0.0003183693,0.0001994667,0.0006056859,0.0008683802,0.001458105,0.001460527,0.001684883,0.0414477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002919648,"about_ca_system_score_gemma":0.009375866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3163614,"about_ca_topic_score_gemma":0.7558999,"domain_scores_codex":[0.9996374,0.00003831556,0.000007013242,0.00002582244,0.0001326956,0.0001586445],"domain_scores_gemma":[0.9988531,0.00006238506,0.00003610409,0.00004811434,0.0003164941,0.0006838871],"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":[0.000008190867,0.00001699579,0.0004892697,0.00002151229,4.843299e-7,0.00006033231,0.0001252447,0.000008961656,0.00009599816,0.0009503973,0.9752035,0.02301914],"study_design_scores_gemma":[0.000007601611,0.00001001815,0.003474247,0.00002912873,0.0000015638,0.00003895602,0.0007215083,0.00001290326,0.00006173854,0.0002057939,0.9954319,0.000004600543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007976732,0.002452911,0.0004886617,0.1148223,0.005183771,0.0002181499,0.001667769,0.0007119438,0.8664778],"genre_scores_gemma":[0.01520881,0.001774397,0.0007631428,0.0110089,0.0003747275,0.0000684717,0.0005696214,0.0001420101,0.97009],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6836386,"threshold_uncertainty_score":0.7269557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391460309390476,"score_gpt":0.231968420590801,"score_spread":0.2180538174968962,"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."}}