{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003158222,0.0005980429,0.0004808691,0.002763871,0.005977244,0.01634078,0.003395484,0.002304276,0.01566688],"category_scores_gemma":[0.003222928,0.0005271394,0.00124485,0.002516075,0.005550328,0.009591901,0.01837525,0.002973391,0.001876443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003889598,"about_ca_system_score_gemma":0.007071211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00442899,"about_ca_topic_score_gemma":0.01519443,"domain_scores_codex":[0.9975992,0.0010636,0.00008212351,0.0002497171,0.000727077,0.0002782485],"domain_scores_gemma":[0.9977457,0.0005891729,0.00008104639,0.0006784248,0.00028105,0.0006245876],"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":[0.000060769,0.0003738616,0.00115151,0.000283622,0.00004076182,0.0003494919,0.0111299,0.004336399,0.003384706,0.7966269,0.01439697,0.1678651],"study_design_scores_gemma":[0.0000661199,0.0001115106,0.001315345,0.0002500117,0.00005297498,0.0004705809,0.01693462,0.01673929,0.007329996,0.3731216,0.5835101,0.00009777593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04051069,0.0006906901,0.5879714,0.005301379,0.0004813368,0.0005640846,0.0002031026,0.002605863,0.3616715],"genre_scores_gemma":[0.3628938,0.0009044117,0.5052931,0.0007242777,0.0001030894,0.0008309957,0.0004816978,0.001330418,0.1274382],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.995571,"threshold_uncertainty_score":0.0524109,"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."}}