{"id":"W2241510486","doi":"","title":"OpenOttawaLibre: An Interdisciplinary Approach to Building Creative Cities","year":2010,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Computer science; 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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001274455,0.0002927714,0.0003392799,0.00009374688,0.003237809,0.001870089,0.00287791,0.0002101041,0.0006649166],"category_scores_gemma":[0.0001257816,0.0002044916,0.00006594341,0.00125741,0.0006389621,0.0006828586,0.002628251,0.000425689,0.00005958206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001223662,"about_ca_system_score_gemma":0.0002414224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01113382,"about_ca_topic_score_gemma":0.005063123,"domain_scores_codex":[0.9975714,0.0002792873,0.0003505232,0.0005890701,0.0005654644,0.0006442406],"domain_scores_gemma":[0.9984652,0.0001255238,0.0001658301,0.0006042107,0.0002923368,0.0003468917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003607778,0.0004700981,0.002484031,0.00003153337,0.0001282262,0.00001493615,0.3344497,0.001467066,0.001618399,0.0163558,0.4659546,0.1766648],"study_design_scores_gemma":[0.0002143637,0.00002311755,0.007361414,0.00003634156,0.00001706705,0.00001084308,0.1006247,0.00009238385,0.0000441591,0.000300376,0.890909,0.0003662149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5236558,0.00004538974,0.003022846,0.01685099,0.0004397981,0.001899037,0.00001456721,0.0002445738,0.453827],"genre_scores_gemma":[0.7841795,0.000003083,0.002395476,0.001359514,0.00102735,0.0001994916,0.00003262339,0.00005737835,0.2107456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4249544,"threshold_uncertainty_score":0.9991661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04691408551187528,"score_gpt":0.3330797925449892,"score_spread":0.2861657070331139,"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."}}