{"id":"W580023550","doi":"","title":"Toward methodological exchange","year":2012,"lang":"en","type":"book","venue":"Emerald eBooks","topic":"Global and Cross-Cultural Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); China; Field (mathematics); Political science; Regional science; Management science; Sociology; Management; Engineering; Library science; Computer science; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00104106,0.0002981928,0.0004121082,0.00004506232,0.0004586981,0.0001437854,0.0005409056,0.0004704521,0.004517053],"category_scores_gemma":[0.00007485284,0.0002313526,0.0002765855,0.00003139408,0.0004610639,0.0000854541,0.000265903,0.0003606166,0.00106025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002799434,"about_ca_system_score_gemma":0.0001187478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623268,"about_ca_topic_score_gemma":0.0005282964,"domain_scores_codex":[0.9978057,0.0002962126,0.0002619334,0.0003644766,0.0005876021,0.0006840859],"domain_scores_gemma":[0.9991777,0.00008419176,0.0001576527,0.0002315751,0.00008893717,0.0002599599],"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":[0.000008697976,0.00001174449,0.000006671765,0.00005864495,0.00005944358,0.00001839565,0.005589197,7.812495e-8,0.000004224761,0.2715614,0.6771145,0.04556701],"study_design_scores_gemma":[0.00008866477,0.00002734672,0.00006048043,0.00003361986,0.00006445622,8.959994e-7,0.0002582052,8.362914e-8,0.000004581088,0.04876459,0.9503788,0.0003182458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003890603,0.0009223978,0.00003435704,0.004294123,0.001163717,0.0004966976,0.00001737233,0.0002202857,0.9928122],"genre_scores_gemma":[0.0007518971,0.0001554737,0.0005515678,0.004179221,0.002792191,0.00005129612,0.00002883946,0.00002086613,0.9914687],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2732643,"threshold_uncertainty_score":0.9997175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2867960581816209,"score_gpt":0.3967626218325273,"score_spread":0.1099665636509063,"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."}}