{"id":"W2331358146","doi":"10.1177/1206331213487062","title":"Like a Fish Needs a Bicycle","year":2013,"lang":"en","type":"article","venue":"Space and Culture","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mobilities; Sociology; Situated; Blueprint; Politics; Space (punctuation); Urban theory; Critical theory; Urban studies; Economic geography; Epistemology; Social science; Political science; Geography; Law; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00006025058,0.00005361525,0.00006499973,0.00001274022,0.0002467223,0.0001069443,0.00007954093,0.00007986695,0.0008609077],"category_scores_gemma":[0.000006424646,0.00003884953,0.00002985759,0.0001310749,0.0001134071,0.0002704847,0.000008674497,0.00007153276,0.00006860323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009891361,"about_ca_system_score_gemma":0.00002615671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004511799,"about_ca_topic_score_gemma":0.006069322,"domain_scores_codex":[0.9995753,0.00001700172,0.00004707291,0.00009833636,0.0001075897,0.0001547684],"domain_scores_gemma":[0.9997845,0.000005347229,0.00001763614,0.00007007489,0.00002774939,0.0000947133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004692978,0.00004212025,0.5283403,0.000016928,0.00001437622,0.000002299254,0.08416529,2.251763e-7,0.000435698,0.004458722,0.3779914,0.004527938],"study_design_scores_gemma":[0.000155105,0.00001955923,0.1621086,0.00001146521,0.00001293845,1.749696e-7,0.02108287,0.000003690829,0.00008697371,0.00604996,0.8103265,0.0001421832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090942,0.0002777412,0.000009809678,0.0110144,0.000118547,0.0001493184,0.000004242839,0.00006524748,0.07926652],"genre_scores_gemma":[0.9487545,0.00006085613,0.00006930647,0.0005521227,0.0001923122,0.000009262723,0.0000032696,0.000002742025,0.05035555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4323351,"threshold_uncertainty_score":0.9426335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009161054705491077,"score_gpt":0.25213859345064,"score_spread":0.2429775387451489,"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."}}