{"id":"W2953037367","doi":"","title":"Placemaking through community and adaptable design (The Case of Coffee Park) (First Design Iteration).","year":2019,"lang":"en","type":"article","venue":"Spectrum Research Repository (Concordia University)","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Community design; Placemaking; Brainstorming; Participatory planning; Urban planning; Context (archaeology); Urban design; Public space; Sociology; Environmental planning; Engineering; Architectural engineering; Business; Civil engineering; Geography; Political science; Marketing","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":[0.0008432157,0.0001552809,0.0002079453,0.0002381017,0.000919545,0.00008242362,0.0003412122,0.00007953584,0.00002972317],"category_scores_gemma":[0.00003339776,0.0001442008,0.00005480542,0.0005983121,0.0002377107,0.0003120506,0.0001574765,0.0006928041,0.00001495361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731483,"about_ca_system_score_gemma":0.0001388347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003455812,"about_ca_topic_score_gemma":0.001017838,"domain_scores_codex":[0.9978203,0.001207199,0.0001734952,0.0002002723,0.0002466731,0.0003520633],"domain_scores_gemma":[0.9971747,0.002148323,0.00004910769,0.0004309919,0.0001094519,0.0000874257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00108781,0.000170999,0.008177378,0.0005530215,0.0006727894,0.003637187,0.01207116,0.9173152,0.02071284,0.03035703,0.003456191,0.001788399],"study_design_scores_gemma":[0.004394512,0.003045865,0.01680471,0.0004778564,0.0002253197,0.003628045,0.01400509,0.7800266,0.1280039,0.0251712,0.02266924,0.001547674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.737439,0.0002293082,0.2380552,0.0001307768,0.000156536,0.0007603412,0.000003815229,0.0001093394,0.02311562],"genre_scores_gemma":[0.9978048,0.00003856172,0.001232984,0.000007831475,0.00005142364,0.000003464823,0.000002039753,0.00002321279,0.0008356884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2603658,"threshold_uncertainty_score":0.7072489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04351205332739519,"score_gpt":0.2481412606067366,"score_spread":0.2046292072793414,"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."}}