{"id":"W1556356566","doi":"","title":"Practices and Thoughts on the Construction of Scientific Research and Innovative Team of Agricultural Scientific Research Institute","year":2014,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Research center; Business; Engineering ethics; Engineering management; Knowledge management; Political science; Engineering; Computer science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005944962,0.00009621609,0.0001240498,0.0001531521,0.001374417,0.0005854085,0.0005819764,0.0001364807,0.000002658503],"category_scores_gemma":[0.005111398,0.00005474209,0.00002363245,0.0008731603,0.01471177,0.00006719939,0.0006667492,0.0004179473,0.000005441264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002054474,"about_ca_system_score_gemma":0.000121857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004588393,"about_ca_topic_score_gemma":0.0001278219,"domain_scores_codex":[0.9979067,0.0004973853,0.0003392164,0.0002751412,0.0007192407,0.0002623125],"domain_scores_gemma":[0.9942749,0.0003251584,0.0002800772,0.0007020701,0.004346101,0.00007175563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001169136,0.0001140661,0.002680575,0.000131243,0.00003196359,3.90615e-8,0.001541371,0.000002663418,0.9653647,0.0149237,0.002927319,0.01216543],"study_design_scores_gemma":[0.0005548787,0.0007765865,0.05269026,0.0001554948,0.000006505328,0.0000132046,0.007305739,0.0001735669,0.8370529,0.003418205,0.09769059,0.000162073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951116,0.0003506776,0.00001000326,0.001167818,0.0001162754,0.000345939,0.00001878116,0.000004347613,0.002874581],"genre_scores_gemma":[0.9975809,0.0004349429,0.0009164848,0.000009747963,0.00008013616,0.00001865013,0.0001815181,0.000004256839,0.0007733752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1283118,"threshold_uncertainty_score":0.9999257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015119632239406,"score_gpt":0.4291146890660325,"score_spread":0.3276027258420919,"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."}}