{"id":"W2386536224","doi":"","title":"Science funding and SCI papers output: a comparative analysis on 10 countries","year":2013,"lang":"en","type":"article","venue":"Kexuexue yanjiu","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Funding Agency; Agency (philosophy); Political science; Publishing; Regional science; Business; Library science; Economic growth; Geography; Economics; Sociology; Social science; Public relations","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002583705,0.0001838822,0.0002059009,0.0001108602,0.0007904427,0.0002897191,0.0003701544,0.0000351025,0.00798609],"category_scores_gemma":[0.00001766533,0.000112939,0.00005491204,0.001556634,0.001968198,0.0008546569,0.0002807667,0.00009088505,0.002521458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178049,"about_ca_system_score_gemma":0.000007934052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006258306,"about_ca_topic_score_gemma":0.0002032768,"domain_scores_codex":[0.9981044,0.00002889207,0.0001649984,0.0005729952,0.0006803169,0.0004483819],"domain_scores_gemma":[0.9994071,0.00006904928,0.00008028081,0.0001742143,0.000007477911,0.0002618657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000408418,0.0003299732,0.7109904,0.00001533249,0.0001930028,0.00001431226,0.006226117,0.007996757,0.2380621,0.005711616,0.01082619,0.0195934],"study_design_scores_gemma":[0.0001208463,0.0001575805,0.9797783,0.000008025384,0.00004475081,0.000003122272,0.001016708,0.001039919,0.003222027,0.0001496896,0.01419226,0.0002667957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991427,0.00002911015,0.000004268752,0.0008219329,0.00005194154,0.0001870304,0.000004850856,0.00003100011,0.0997272],"genre_scores_gemma":[0.9895521,0.00001782096,0.0002314947,0.0003997017,0.00002290527,0.00001690219,0.000002727296,0.000002552076,0.009753826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2687879,"threshold_uncertainty_score":0.9982552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386727030835912,"score_gpt":0.2247321581371789,"score_spread":0.2108648878288198,"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."}}