{"id":"W1546692","doi":"10.1093/ajcp/97.2.227","title":"让希望之星更亮——祝福非国有科技企业：在企业技术创新与人才发展战略论坛上的讲话","year":2003,"lang":"en","type":"article","venue":"企业科协","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000246235,0.0002756439,0.0001616108,0.00008573969,0.0001385103,0.0002467605,0.0001993197,0.0001138597,0.001127061],"category_scores_gemma":[0.0003546604,0.000102293,0.0001716499,0.00009987201,0.0003019382,0.0002367255,0.0001289606,0.000254076,0.0004911119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128508,"about_ca_system_score_gemma":0.0001205498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001943317,"about_ca_topic_score_gemma":0.0002451765,"domain_scores_codex":[0.9999001,0.0000221505,0.000006811013,0.00004124139,0.00001512939,0.00001453598],"domain_scores_gemma":[0.9998347,0.00005651268,0.0000407584,0.00002783874,0.00002035254,0.0000197748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009531367,0.0000898725,0.00621999,0.0001520743,0.00003313169,0.0001039104,0.00006937064,0.0004079636,0.9392207,0.0002678128,0.000328972,0.05215311],"study_design_scores_gemma":[0.00008885869,0.003163186,0.03200824,0.00001710624,0.0001572188,0.002054782,0.00007595603,0.002003547,0.947899,0.0003983683,0.01211055,0.00002320066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9725627,0.003029776,0.02198425,0.000117864,0.00008192188,0.00004182476,0.00006454746,0.00008421049,0.002032914],"genre_scores_gemma":[0.9651465,0.001170797,0.03136582,0.0001038071,0.00007402702,0.0000616626,0.0002079143,0.00004275327,0.001826736],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.001127061,"threshold_uncertainty_score":0.003770411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364351049136072,"score_gpt":0.2687731152198937,"score_spread":0.255129604728533,"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."}}