{"id":"W1541806587","doi":"10.15760/trec.115","title":"Lessons from the Green Lanes: Evaluating Protected Bike Lanes in the U.S.","year":2014,"lang":"en","type":"report","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Transportation and Communities; U.S. Department of Transportation","keywords":"Transport engineering; Quarter (Canadian coin); Cycling; Data collection; Survey data collection; Perception; Geography; Engineering; Psychology; Forestry; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001415884,0.0003061871,0.0003647224,0.00005513157,0.0001077134,0.00005030737,0.0005982823,0.0003449213,0.0002387616],"category_scores_gemma":[0.0001670162,0.0001431243,0.0001174236,0.0001997689,0.00003595525,0.00002600232,0.00005144685,0.0008845855,0.0001297441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000768563,"about_ca_system_score_gemma":0.0001669188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205932,"about_ca_topic_score_gemma":0.01049073,"domain_scores_codex":[0.9981546,0.0001990296,0.0004010751,0.0002585793,0.0006951252,0.0002916168],"domain_scores_gemma":[0.998615,0.0005727632,0.00008344565,0.0006313666,0.00006904105,0.00002840312],"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":[0.00003955505,0.000134114,0.0135514,0.001623021,0.001153483,0.0001492377,0.0137709,0.06775191,0.0002001704,0.0006055259,0.2533624,0.6476583],"study_design_scores_gemma":[0.0006637727,0.00005403768,0.2379045,0.0007818421,0.000247222,0.00006965689,0.001247963,0.03850846,0.00001330862,0.0003264269,0.719232,0.0009508522],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1399969,0.01202368,0.004427442,0.01052146,0.005346819,0.006889785,0.0005523309,0.004155198,0.8160864],"genre_scores_gemma":[0.9866638,0.001123202,0.0007185866,0.0002439848,0.002986091,0.0003801597,0.0006771275,0.0001711424,0.007035884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8466669,"threshold_uncertainty_score":0.9945195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0768537330343627,"score_gpt":0.3187000623479164,"score_spread":0.2418463293135537,"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."}}