{"id":"W3028354788","doi":"10.3968/11679","title":"IPMS Implementation Efficiency Study Based on Chinese IPMS Standard GB/T 29490","year":2020,"lang":"en","type":"article","venue":"Canadian social science","topic":"Evaluation and Optimization Models","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Certification; Valuation (finance); Audit; Intellectual property; Computer science; Business; Accounting; Economics; Management; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006809899,0.0004205315,0.000486356,0.003013458,0.0004848297,0.001343455,0.0006542737,0.0004060756,0.001829118],"category_scores_gemma":[0.01483026,0.0002639893,0.0008686052,0.004795945,0.0006815565,0.00202965,0.0008795647,0.000548851,0.0001931225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005115996,"about_ca_system_score_gemma":0.002857125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03004185,"about_ca_topic_score_gemma":0.01646385,"domain_scores_codex":[0.9928417,0.002448872,0.0005403121,0.0005079603,0.002909956,0.0007512709],"domain_scores_gemma":[0.9891627,0.005069552,0.001324648,0.0009307302,0.003355348,0.0001570602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009370334,0.001122625,0.5000544,0.0008507622,0.0004563307,0.001021216,0.002332178,0.315995,0.007166761,0.02605024,0.003288017,0.1407254],"study_design_scores_gemma":[0.00005645466,0.001330998,0.6309522,0.00008274045,0.0002435603,0.0001799202,0.004161106,0.3470621,0.01022796,0.002278917,0.003334154,0.00008988597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901392,0.00006729885,0.003890404,0.00007405741,0.000004789463,0.00007640482,0.0001806913,0.00002405203,0.005542954],"genre_scores_gemma":[0.9977739,0.00005513762,0.001313055,0.000006574294,0.000001836899,0.00003489566,0.0001902155,0.000006541386,0.000617882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03004185,"threshold_uncertainty_score":0.05973399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157102191665009,"score_gpt":0.3129466107447475,"score_spread":0.2913755888280974,"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."}}