{"id":"W7132209669","doi":"","title":"CityTogo:The Talent Bottleneck during Fast Expansion","year":2015,"lang":"","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Bottleneck; Work (physics); Context (archaeology); Set (abstract data type); Term (time)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.001346817,0.002218438,0.001509051,0.001046449,0.004691245,0.0005950331,0.002507276,0.001740294,0.00364274],"category_scores_gemma":[0.0006341152,0.00188415,0.0009551868,0.001282653,0.006234406,0.0008235652,0.001499737,0.002662008,0.03032398],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006793992,"about_ca_system_score_gemma":0.009071763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002581206,"about_ca_topic_score_gemma":0.0001257397,"domain_scores_codex":[0.9869401,0.0009444184,0.002278186,0.002792542,0.005210548,0.001834162],"domain_scores_gemma":[0.9918824,0.0001315917,0.001985798,0.003335465,0.00136316,0.001301594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001890865,0.003274994,0.001472349,0.001813191,0.002887177,0.007073791,0.002580362,0.01215034,0.1764812,0.009848352,0.7791041,0.001423271],"study_design_scores_gemma":[0.002655186,0.0001711539,0.008114383,0.003549427,0.0005425636,0.005726619,0.0004583339,0.0004412387,0.008475766,0.0001451968,0.9673673,0.002352861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.073889,0.01848045,0.0001313525,0.0001294258,0.01980699,0.002377159,0.0009635909,0.0006873502,0.8835347],"genre_scores_gemma":[0.4562117,0.0003169178,0.0002314386,0.0001090657,0.009379879,0.0003100086,0.0004700328,0.001085864,0.5318851],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3823227,"threshold_uncertainty_score":0.9996389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162416343325095,"score_gpt":0.2369327812684723,"score_spread":0.2206911469359628,"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."}}