{"id":"W3215719994","doi":"","title":"Decode the City: A Methodological Study Responding to the New Trend of City “Re-image” Montreal as a Case","year":2009,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Public Spaces through Art","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Regional science; History","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008890562,0.0007579557,0.0004994075,0.004771201,0.02225015,0.008666227,0.003960979,0.003428928,0.009026598],"category_scores_gemma":[0.02559939,0.0004836337,0.0004025585,0.009652277,0.01937198,0.0058035,0.00928861,0.003211284,0.0003697623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05157151,"about_ca_system_score_gemma":0.02972912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.787046,"about_ca_topic_score_gemma":0.9101661,"domain_scores_codex":[0.9888265,0.008555392,0.0001506679,0.0007919031,0.0005783667,0.001097097],"domain_scores_gemma":[0.990207,0.006261353,0.0006320656,0.0008468266,0.001476158,0.0005765652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005193541,0.00009815295,0.009961777,0.0002054277,0.00001901492,0.0009899918,0.8513239,0.0003370906,0.0003866042,0.1154127,0.005472557,0.01574079],"study_design_scores_gemma":[0.00001286756,0.00003613311,0.005001997,0.0001900565,0.00003894211,0.0001211609,0.9440404,0.0004857554,0.0004097518,0.005913323,0.04371991,0.00002974833],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8428272,0.002489961,0.01501154,0.01906167,0.0002862068,0.001268624,0.0008146574,0.00007931487,0.1181608],"genre_scores_gemma":[0.9771,0.0006398148,0.00479933,0.001460183,0.00003668656,0.0007572888,0.0001779595,0.00007035894,0.01495835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.212954,"threshold_uncertainty_score":0.4284163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1146539488706302,"score_gpt":0.3904047753411922,"score_spread":0.275750826470562,"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."}}