{"id":"W7095378901","doi":"","title":"HIGHLIGHTS","year":2004,"lang":"en","type":"article","venue":"","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Health care; Poverty reduction; Economic cost; Cost–benefit analysis; Social assistance; Total cost; Public health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001992336,0.0007209661,0.0005032555,0.001721416,0.002171953,0.004760748,0.002403497,0.002343141,0.4809975],"category_scores_gemma":[0.00684725,0.0002769215,0.0007662814,0.001903525,0.0004609303,0.002344612,0.002521941,0.002155651,0.2441682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003404909,"about_ca_system_score_gemma":0.008340864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051795,"about_ca_topic_score_gemma":0.00886617,"domain_scores_codex":[0.998085,0.0002356765,0.00009595267,0.0002742597,0.000934089,0.0003750252],"domain_scores_gemma":[0.9966912,0.0003036918,0.0001746602,0.0002583433,0.001852445,0.0007196725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003051454,0.00001675911,0.000448198,0.0001974692,0.000004593008,0.0001168748,0.00008570486,0.00003156338,0.00008774541,0.004816889,0.9447446,0.04941906],"study_design_scores_gemma":[0.00000320854,0.000008124155,0.0005411591,0.0001214209,0.000002058273,0.00009003866,0.0001129069,0.0000105591,0.00005200676,0.0005974136,0.9984581,0.00000286679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001820798,0.01098532,0.001944703,0.07317959,0.05554035,0.0008100875,0.02648841,0.001031861,0.828199],"genre_scores_gemma":[0.01457484,0.01215829,0.00210033,0.02325391,0.01160517,0.0006210499,0.02131853,0.0005223479,0.9138456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5190025,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607499163125185,"score_gpt":0.2846283332028947,"score_spread":0.2585533415716429,"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."}}