{"id":"W2893583727","doi":"10.7492/ijaec.2018.006","title":"Technology and Urban Form: From the Horse-Drawn Carriage to the Information Highway","year":2018,"lang":"en","type":"article","venue":"International Journal of Architecture Engineering and Construction","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Carriage; Transport engineering; Horse; Engineering; Civil engineering; Architectural engineering; Geography; Geology; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008992649,0.00008226565,0.00008699778,0.0002510192,0.00006924879,0.0001093883,0.0001609516,0.00004405835,0.000008941246],"category_scores_gemma":[0.00005951548,0.00004905078,0.00003139769,0.0001571432,0.00007396891,0.0001252084,0.00002639324,0.0001937906,0.000002339255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002348276,"about_ca_system_score_gemma":0.00000966791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001822341,"about_ca_topic_score_gemma":0.00001870195,"domain_scores_codex":[0.9995298,0.000008099233,0.0001936682,0.0000445772,0.0001496739,0.00007422317],"domain_scores_gemma":[0.99968,0.00004854548,0.00005085057,0.00006785333,0.0001151244,0.00003763691],"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":[0.0001525837,0.000009747471,0.007931683,0.0000188309,0.001484707,0.00001195129,0.01219003,0.06612102,0.02711891,0.007094975,0.003211635,0.8746539],"study_design_scores_gemma":[0.001938678,0.0005454081,0.03497271,0.0003967667,0.0003643112,0.002484972,0.001600976,0.1989323,0.02741526,0.008423122,0.7221313,0.0007942276],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7732716,0.0002470781,0.2230322,0.002294485,0.001011875,0.00004602215,0.00001245142,0.00004212812,0.00004217833],"genre_scores_gemma":[0.9955308,0.00003227295,0.003565235,0.00007842901,0.0007783005,0.000002095116,0.000002124744,0.00000578534,0.000004921254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8738597,"threshold_uncertainty_score":0.2000233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00187819787013075,"score_gpt":0.1601342560922872,"score_spread":0.1582560582221565,"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."}}