{"id":"W2908712005","doi":"","title":"Unions and the City: Negotiating Urban Change","year":2019,"lang":"en","type":"article","venue":"Alternate routes","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Negotiation; Economic geography; Political science; Geography; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0003513433,0.00005330188,0.00007744486,0.00002018963,0.000371212,0.0001437945,0.0001631844,0.00002317591,0.0001095454],"category_scores_gemma":[0.00004500795,0.00003379489,0.00002290465,0.00009988184,0.0001236501,0.000194081,0.00005488173,0.00006710205,0.00001121366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000014861,"about_ca_system_score_gemma":0.00001485018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03217628,"about_ca_topic_score_gemma":0.001736171,"domain_scores_codex":[0.9993899,0.00009141274,0.00007520151,0.0001080768,0.0001514205,0.0001839975],"domain_scores_gemma":[0.9996336,0.0001216948,0.00004846126,0.0001197994,0.00002918201,0.00004724719],"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":[0.000002347988,0.000007208772,0.1251698,7.749252e-7,0.00001536021,4.758034e-7,0.009294053,8.549383e-7,0.00002067104,0.8633597,0.0001635396,0.001965169],"study_design_scores_gemma":[0.001984791,0.00004138299,0.24137,0.00004627001,0.00004436622,8.350195e-7,0.009380188,0.0005801033,0.00005655342,0.0128694,0.7333434,0.0002827252],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409497,0.0005867744,0.00001098117,0.008854406,0.0006471281,0.0003092601,0.000008900121,0.00004172272,0.04859118],"genre_scores_gemma":[0.9917704,0.000494505,0.00001944311,0.001719793,0.000363638,0.00001369403,0.000002030298,0.00000551956,0.005610974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8504904,"threshold_uncertainty_score":0.9742686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639897994092313,"score_gpt":0.2831378648003141,"score_spread":0.256738884859391,"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."}}