{"id":"W2993753132","doi":"","title":"Borderland Appropriations: Globalization, Obsolescence, Migration and the American Shopping Mall","year":2017,"lang":"en","type":"article","venue":"OakTrust (Texas A&M University Libraries)","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obsolescence; Globalization; Shopping mall; Business; Political science; Economic growth; Advertising; Marketing; Economics; Law","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":[0.0009098038,0.0001533198,0.0001484006,0.0009068215,0.005199101,0.004659936,0.0005189924,0.0006059212,0.002507014],"category_scores_gemma":[0.0007694667,0.0001373559,0.0001673715,0.001930611,0.01385133,0.003379884,0.003636783,0.001139777,0.0001159359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002682021,"about_ca_system_score_gemma":0.001348498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01916652,"about_ca_topic_score_gemma":0.05441641,"domain_scores_codex":[0.9995161,0.0002493949,0.00001280034,0.00007786042,0.00005330014,0.00009059719],"domain_scores_gemma":[0.999635,0.0001283992,0.00007178741,0.00005612996,0.00004592266,0.0000628452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005900485,0.00007869906,0.03365231,0.0000650759,0.0000115631,0.0003800413,0.605773,0.0001250633,0.0003869036,0.3255827,0.001862085,0.03202353],"study_design_scores_gemma":[0.000009522969,0.00006017256,0.06193564,0.0001581823,0.00002226126,0.0004532558,0.750736,0.0003925936,0.0003316327,0.03844887,0.1474193,0.00003251919],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9201976,0.001120911,0.000770829,0.002616588,0.00002889185,0.000008674461,0.00002210174,0.00001176921,0.07522269],"genre_scores_gemma":[0.9972915,0.0003619907,0.0001838808,0.00009716764,0.00000786398,0.000004985976,0.000007030977,0.000004410031,0.002041155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01916652,"threshold_uncertainty_score":0.03810996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441370102141951,"score_gpt":0.2345002184751693,"score_spread":0.2200865174537498,"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."}}