{"id":"W3126112142","doi":"10.2139/ssrn.3357012","title":"Market Transition and Network-Based Job Matching in China: The Referrer Perspective","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Matching (statistics); Perspective (graphical); China; Transition (genetics); Business; Marketing; Computer science; Political science; Artificial intelligence; Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.003351049,0.00009042912,0.0001291354,0.00003752891,0.0005675344,0.00008602683,0.0001535836,0.0000931137,0.0001222463],"category_scores_gemma":[0.00002317265,0.00006681354,0.00007053696,0.0002508157,0.000123438,0.000185342,0.00001069078,0.00145366,0.000007360888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007511271,"about_ca_system_score_gemma":0.000847112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002616441,"about_ca_topic_score_gemma":0.03048041,"domain_scores_codex":[0.9977736,0.0004268556,0.0001313972,0.0001402296,0.0002483313,0.001279602],"domain_scores_gemma":[0.9996766,0.0001076951,0.000067448,0.00005954363,0.00003896644,0.00004970724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002894791,0.00004413627,0.007229799,0.000003931333,0.00008083608,0.000004720598,0.06813127,0.001082592,0.0000161985,0.9133426,0.0005237135,0.009250755],"study_design_scores_gemma":[0.0006114182,0.0001260053,0.03039045,0.00003679853,0.00002139868,0.00001593351,0.08982858,0.0003068773,5.26966e-7,0.8776948,0.0008170262,0.0001501206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510435,0.005958329,0.0004595371,0.01405458,0.0003287101,0.0002511488,5.592619e-7,0.0000229699,0.02788065],"genre_scores_gemma":[0.9951435,0.002650998,0.00001147764,0.0002883287,0.0007944311,0.000003862502,4.372119e-7,0.00001036056,0.001096633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04409996,"threshold_uncertainty_score":0.9872108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005332857701414079,"score_gpt":0.2499868935488603,"score_spread":0.2446540358474462,"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."}}