{"id":"W7100982741","doi":"","title":"100Copyright © Canadian Academy of Oriental and Occidental Culture Industrial Cluster, Similarity, and External Economies","year":2014,"lang":"en","type":"article","venue":"","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); China; Work (physics); Productivity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004210133,0.0001943966,0.0002749343,0.0001374744,0.0001527623,0.000220864,0.0005760226,0.0002213751,0.00005038719],"category_scores_gemma":[0.00004638785,0.0001640418,0.00004675213,0.0001320109,0.0002113272,0.0005609237,0.00068092,0.0002826435,0.000005179125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009344881,"about_ca_system_score_gemma":0.00006979021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01174837,"about_ca_topic_score_gemma":0.01492677,"domain_scores_codex":[0.9985582,0.00009892009,0.0003146639,0.0005189695,0.0001772386,0.0003320223],"domain_scores_gemma":[0.9991636,0.0001153437,0.0000911022,0.0002082823,0.00002978209,0.0003919005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008566929,0.000296795,0.5276735,0.0001093726,0.0001470576,0.0000245672,0.005861228,0.0001746168,0.0006838762,0.1645293,0.0300259,0.2703881],"study_design_scores_gemma":[0.008717133,0.001258235,0.3006756,0.0001223678,0.00007133977,0.0009056377,0.0004082759,0.4817854,0.01005776,0.09842329,0.09547164,0.002103376],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96244,0.0002048156,0.02769228,0.004585856,0.0008008396,0.0004312985,0.00002230459,0.00009750679,0.00372506],"genre_scores_gemma":[0.9825733,0.00001348463,0.01575596,0.00118305,0.0002885749,0.000003748284,0.000001780296,0.000006702673,0.0001733634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4816107,"threshold_uncertainty_score":0.9948325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914572306306398,"score_gpt":0.238384781699,"score_spread":0.219239058635936,"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."}}