{"id":"W2041712247","doi":"10.1126/science.330.6005.756-a","title":"Funding for Chinese Collaboration","year":2010,"lang":"en","type":"letter","venue":"Science","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01688663,0.001126211,0.0008524704,0.00337608,0.006358191,0.008006694,0.00255902,0.00537346,0.1107358],"category_scores_gemma":[0.02704684,0.0005299341,0.001095477,0.004775417,0.002826829,0.007095559,0.01587511,0.005642952,0.01806495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009191639,"about_ca_system_score_gemma":0.05528277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009014864,"about_ca_topic_score_gemma":0.0145942,"domain_scores_codex":[0.9883443,0.003683199,0.000730478,0.0009681871,0.003312087,0.002961777],"domain_scores_gemma":[0.9798896,0.002885782,0.001125866,0.001683546,0.004841405,0.009573779],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005439321,0.00001773631,0.0009521261,0.0007119191,0.00003424107,0.0002360522,0.001645614,0.00005763177,0.0002020082,0.08120637,0.8294838,0.08539812],"study_design_scores_gemma":[0.00004321,0.00001511781,0.001175746,0.0002568688,0.0000142655,0.0001169235,0.0004648624,0.00007624796,0.00007470861,0.005043491,0.9927053,0.00001327064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004483892,0.03474506,0.004827819,0.4785542,0.1058951,0.0004990167,0.001812621,0.0008092115,0.3683731],"genre_scores_gemma":[0.1713418,0.04037859,0.009848746,0.2510324,0.0672171,0.00275237,0.00625657,0.001215998,0.4499564],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9831133,"threshold_uncertainty_score":0.370448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.581687363507967,"score_gpt":0.633972770791863,"score_spread":0.05228540728389597,"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."}}