{"id":"W2744868976","doi":"","title":"General Motors and the City of Detroit: A Study of Urban Decline","year":2014,"lang":"en","type":"article","venue":"Forum on public policy","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bankruptcy; Corporation; Government (linguistics); Multinational corporation; Unemployment; Economic growth; Economics; Political science; Economy; 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":[0.0007807178,0.0002537373,0.0002673913,0.002219586,0.01011967,0.004353479,0.001468032,0.0009550661,0.00671214],"category_scores_gemma":[0.001310034,0.0002267563,0.0001703248,0.005169199,0.005168143,0.003649997,0.004810784,0.001528725,0.0004556608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01067353,"about_ca_system_score_gemma":0.005290763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4138222,"about_ca_topic_score_gemma":0.6517913,"domain_scores_codex":[0.9992204,0.0002557343,0.00002216629,0.00006710706,0.0001329802,0.0003016851],"domain_scores_gemma":[0.9990048,0.0001930515,0.0001948773,0.00004478225,0.0002129075,0.0003496782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004990028,0.0003262773,0.2259578,0.0002292267,0.00001846481,0.001331162,0.6640006,0.0001507472,0.0003044427,0.0409903,0.03186981,0.03477134],"study_design_scores_gemma":[0.000002085986,0.00003481689,0.1685333,0.0001094204,0.000005213788,0.0001682936,0.7576623,0.00007254983,0.00007137513,0.0005007982,0.07282967,0.00001016708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240373,0.00169583,0.0001017263,0.01246591,0.00005924822,0.00004101,0.0004012615,0.00001015706,0.06118757],"genre_scores_gemma":[0.9809489,0.002399981,0.0001025409,0.00157605,0.00007752096,0.00007913529,0.0003789987,0.00001602168,0.0144208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4138222,"threshold_uncertainty_score":0.822827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675377779844112,"score_gpt":0.3094736576945971,"score_spread":0.2827198798961559,"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."}}