{"id":"W2370513143","doi":"","title":"Analysis on Competition of Social Science in Gansu Province——From the Visual Angle of the Projects Supported by the National Social Science Fund","year":2015,"lang":"en","type":"article","venue":"Technology and Innovation Management","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Competition (biology); Unit (ring theory); Distribution (mathematics); Productivity; Plan (archaeology); Political science; Regional science; Business; Economic growth; Sociology; Economics; Geography; Psychology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001882898,0.0001993157,0.00029578,0.004819042,0.001407007,0.001383074,0.0004776132,0.0002891708,0.003368938],"category_scores_gemma":[0.002689409,0.0001252621,0.000291611,0.005698324,0.0009335611,0.0007232205,0.001301182,0.0003262756,0.00008901095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006900949,"about_ca_system_score_gemma":0.003959672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08142457,"about_ca_topic_score_gemma":0.1057871,"domain_scores_codex":[0.9980513,0.0003413059,0.00009675842,0.0002260333,0.000708156,0.0005764808],"domain_scores_gemma":[0.9975211,0.0005114428,0.000470666,0.00007571563,0.0006541742,0.0007668734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000201537,0.0000577843,0.9430299,0.0001034397,0.00007507054,0.0004575988,0.005793848,0.001057405,0.001332964,0.01217582,0.002591479,0.0331231],"study_design_scores_gemma":[0.000004396214,0.00002574268,0.9921798,0.000009725507,0.000006338643,0.00005880196,0.003728292,0.001071533,0.00006976609,0.0003496181,0.002487595,0.000008365429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918572,0.0001713832,0.0002031145,0.0002206023,0.000007521226,0.00001448252,0.0002815032,0.000005189386,0.007238928],"genre_scores_gemma":[0.999011,0.0000286255,0.0001068617,0.00001082275,0.0000030512,0.000007920583,0.0001589193,0.000001510528,0.000671225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.995181,"threshold_uncertainty_score":0.1619012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03849287505310124,"score_gpt":0.3335516527453473,"score_spread":0.2950587776922461,"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."}}