{"id":"W7132674701","doi":"","title":"锐进之惑：组织成长与人才管理","year":2014,"lang":"","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001154927,0.002410492,0.002018525,0.00162271,0.002875666,0.000563012,0.002355308,0.002838344,0.01651028],"category_scores_gemma":[0.0008456534,0.002643296,0.00138404,0.001001329,0.00611084,0.0005514936,0.0007476763,0.002449227,0.2394113],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003818193,"about_ca_system_score_gemma":0.006765855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002005916,"about_ca_topic_score_gemma":0.00004145332,"domain_scores_codex":[0.9879263,0.0009217956,0.002414279,0.003267909,0.003575513,0.001894201],"domain_scores_gemma":[0.9920218,0.0003322668,0.002225874,0.003256976,0.0008263228,0.001336761],"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":[0.0004917791,0.001599625,0.001362571,0.001227045,0.00228439,0.00294748,0.0002204244,0.002784012,0.02076863,0.2182749,0.7449452,0.003093875],"study_design_scores_gemma":[0.001833305,0.0002027516,0.002815976,0.002657466,0.0007226416,0.003057515,0.00002828649,0.0006867842,0.00216618,0.0004858019,0.9826274,0.00271592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00135376,0.009418439,0.002228274,0.00007058674,0.0247666,0.001481313,0.0004040258,0.0009304688,0.9593465],"genre_scores_gemma":[0.2016318,0.0001869153,0.001434275,0.0004472455,0.01681251,0.0002618304,0.0005204874,0.001866139,0.7768388],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2376821,"threshold_uncertainty_score":0.9998522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009352134391951147,"score_gpt":0.2266238715123037,"score_spread":0.2172717371203526,"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."}}