{"id":"W7145624697","doi":"","title":"人的資本経営に関する一考察 ― Cranet Surveyに基づく6ヵ国の比較研究 ―","year":2024,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human resource management; Human capital; Value (mathematics); Capital (architecture); Human resources","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009951094,0.0007266798,0.0005867119,0.000837053,0.001483416,0.00375285,0.0007246328,0.0002710613,0.003810647],"category_scores_gemma":[0.0006796053,0.0006630316,0.0004845504,0.002403031,0.0006148818,0.007435584,0.0007064547,0.0008207255,0.01232939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249774,"about_ca_system_score_gemma":0.0005938645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005780277,"about_ca_topic_score_gemma":0.0007213756,"domain_scores_codex":[0.9955517,0.00005486457,0.001033991,0.00114551,0.001369568,0.0008443578],"domain_scores_gemma":[0.9978454,0.0003005402,0.0002182677,0.0008076565,0.0007357094,0.0000924482],"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":[0.0008646332,0.0007888634,0.01862839,0.009382641,0.00262187,0.004473235,0.001114251,0.0010788,0.006666906,0.3657481,0.5814154,0.007216915],"study_design_scores_gemma":[0.0003064991,0.0000459826,0.001783752,0.001681386,0.0006949384,0.0001776857,0.0002987326,0.01872079,0.000706532,0.0005465028,0.9740264,0.001010814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5683047,0.07127292,0.005261643,0.005413499,0.07583999,0.00143156,0.003717809,0.00200889,0.2667491],"genre_scores_gemma":[0.9648162,0.0008839149,0.0001303587,0.0009496257,0.01713687,0.00004611402,0.004938365,0.00007435765,0.01102418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3965116,"threshold_uncertainty_score":0.9998165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154308317257497,"score_gpt":0.2454743001689132,"score_spread":0.2239312169963382,"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."}}