{"id":"W2917355472","doi":"10.29173/iq937","title":"Cycling infrastructure in the Ottawa-Gatineau area: a complex assemblage of data","year":2019,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Cycling; Geography; Capital (architecture); Boundary (topology); Environmental resource management; Environmental planning; Regional science; Environmental science; Forestry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00175963,0.0002381329,0.0003711278,0.006324743,0.004789984,0.003973259,0.001042345,0.0005029555,0.002139747],"category_scores_gemma":[0.005819899,0.0004525481,0.0002262542,0.01351128,0.003402386,0.001635748,0.004158115,0.0005187263,0.0002232878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01961912,"about_ca_system_score_gemma":0.02001005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9248586,"about_ca_topic_score_gemma":0.9729027,"domain_scores_codex":[0.9966048,0.0005767501,0.0002556873,0.0005602101,0.001326822,0.000675784],"domain_scores_gemma":[0.9939584,0.00219512,0.0008430482,0.0004155819,0.0018496,0.0007382294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007735061,0.00004833416,0.7245252,0.000605344,0.0001118653,0.002900694,0.181512,0.001153339,0.004006276,0.009781844,0.004902276,0.07037557],"study_design_scores_gemma":[0.000004195482,0.00004020492,0.7100454,0.0004114058,0.00004526223,0.000678974,0.2189821,0.001307285,0.0005894693,0.0009207893,0.06689516,0.00007963939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824467,0.0007602136,0.001160842,0.001387702,0.000009651119,0.0002655243,0.003760473,0.00003822942,0.0101707],"genre_scores_gemma":[0.9890694,0.0008492174,0.004219884,0.0001960562,0.000005515227,0.00009980156,0.002162839,0.00002615335,0.003371068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07514143,"threshold_uncertainty_score":0.1511679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05184697267623017,"score_gpt":0.3387692460648368,"score_spread":0.2869222733886067,"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."}}