{"id":"W2724616130","doi":"10.24306/plnxt.2017.04.006","title":"Delving deeper","year":2017,"lang":"en","type":"article","venue":"plaNext - Next Generation Planning","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cityscape; Agency (philosophy); Public space; Architectural engineering; Metropolitan area; Democracy; Smart city; Space (punctuation); Sociology; Regional science; Political science; Computer science; Engineering; Geography; Social science; Computer security","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":[0.004240407,0.0008888134,0.0004851378,0.0009634849,0.01051956,0.01401006,0.001492017,0.004130336,0.05818258],"category_scores_gemma":[0.00779245,0.0003076709,0.0005866533,0.0007751018,0.02605421,0.01602946,0.009829517,0.008008504,0.01273941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008063181,"about_ca_system_score_gemma":0.008432205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01560378,"about_ca_topic_score_gemma":0.02660705,"domain_scores_codex":[0.9964314,0.00144194,0.0000566914,0.0006782624,0.0006524944,0.000739275],"domain_scores_gemma":[0.9969885,0.000855301,0.0001976442,0.0004475392,0.0007017034,0.0008094021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002000485,0.00004087077,0.0009523472,0.00009801357,0.00001134029,0.0002040321,0.04051372,0.0001463276,0.0003659014,0.8397743,0.08758833,0.03028496],"study_design_scores_gemma":[0.000006698006,0.00001868769,0.0003729152,0.000201225,0.000006359295,0.0001098387,0.03052025,0.0001410793,0.0001601134,0.1709717,0.7974797,0.00001135803],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01764676,0.004250795,0.02677008,0.1616402,0.002798278,0.0001241477,0.0002233098,0.0003014271,0.786245],"genre_scores_gemma":[0.4915155,0.005124314,0.01023412,0.06052169,0.001192743,0.0001929318,0.000301929,0.0007330828,0.4301837],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05818258,"threshold_uncertainty_score":0.1946401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0879242361959855,"score_gpt":0.2562574197027219,"score_spread":0.1683331835067364,"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."}}