{"id":"W1536792550","doi":"","title":"The Successful Campaign for a $10 Minimum Wage: Priority #4: Build Cross-Sectoral Alliances to Win Things for All Workers","year":2009,"lang":"en","type":"article","venue":"Labour / Le Travail","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Victory; Undo; Government (linguistics); Context (archaeology); Poverty; Political economy; Wage; Political science; Labour economics; Economics; Law; Politics; History","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"],"consensus_categories":[],"category_scores_codex":[0.001053907,0.0001564694,0.0002356375,0.00002372232,0.001536705,0.0003372128,0.0005623626,0.0001365855,0.0001198947],"category_scores_gemma":[0.0002847625,0.0001254747,0.0001741554,0.0000964989,0.0003455553,0.0003130279,0.00001458681,0.0001127008,0.0000617934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423133,"about_ca_system_score_gemma":0.000310163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003720605,"about_ca_topic_score_gemma":0.006234061,"domain_scores_codex":[0.9983096,0.00006089282,0.0002834016,0.000338333,0.0001625808,0.0008451551],"domain_scores_gemma":[0.9989639,0.0003405491,0.00008101876,0.0001803305,0.00009689811,0.0003373183],"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":[0.002376085,0.000680439,0.01325216,0.0001421143,0.0002033041,0.000008933417,0.08813433,0.00009178526,0.0006823125,0.4499705,0.3178033,0.1266547],"study_design_scores_gemma":[0.0005286066,0.0001938809,0.01208635,0.00001156426,0.00001003947,2.229619e-7,0.001793103,0.00003600766,0.00006384985,0.01243986,0.9726205,0.0002160271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677485,0.0005957261,0.0004568872,0.01923529,0.0008742769,0.0008651214,0.0000921493,0.0001150118,0.01001702],"genre_scores_gemma":[0.8987093,0.00003406762,0.0009188392,0.003533806,0.0009131872,0.00008772075,0.00000540607,0.0000140366,0.09578361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6548172,"threshold_uncertainty_score":0.9997631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469959744957239,"score_gpt":0.3149954539970396,"score_spread":0.2902958565474672,"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."}}