{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009313145,0.0003625628,0.0001656757,0.001504598,0.009418483,0.009761075,0.001262301,0.001626097,0.001855569],"category_scores_gemma":[0.006807003,0.0002478319,0.000263212,0.001682709,0.01619085,0.003996019,0.005105992,0.002953439,0.0005173484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00665142,"about_ca_system_score_gemma":0.007705747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004207992,"about_ca_topic_score_gemma":0.003649448,"domain_scores_codex":[0.9877775,0.008657061,0.0002874299,0.0007193463,0.001426043,0.001132459],"domain_scores_gemma":[0.9948396,0.001635386,0.0006677752,0.0003883169,0.0009074748,0.001561455],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003949689,0.00008573717,0.00470612,0.000145234,0.00001351364,0.0007385038,0.5930312,0.00038899,0.001281726,0.3484506,0.01320553,0.03791329],"study_design_scores_gemma":[0.00001306794,0.0000809713,0.005793616,0.0003996743,0.00001653043,0.0005702078,0.4275731,0.0006724845,0.001234137,0.04846699,0.5151092,0.00006982372],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3375755,0.01073684,0.05444821,0.1220183,0.002228691,0.000345263,0.0001012755,0.0002861875,0.4722597],"genre_scores_gemma":[0.9685543,0.002615621,0.009421199,0.002209467,0.0001798024,0.0001299946,0.00002916706,0.00005473421,0.01680576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9906868,"threshold_uncertainty_score":0.04925323,"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."}}