{"id":"W25769919","doi":"10.4049/jimmunol.1402432","title":"自由基小妹妹 小身量创造大声音——白兰氏馥莓饮的恐怖营销智慧","year":2012,"lang":"en","type":"article","venue":"国际品牌观察","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187152,0.0002909598,0.0001758842,0.0002928768,0.0002788505,0.0003279349,0.0002187314,0.0002279138,0.002624387],"category_scores_gemma":[0.0001117458,0.0001121118,0.0002731612,0.0001806474,0.0004071324,0.0002133704,0.0002162989,0.0006544415,0.001040965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003767677,"about_ca_system_score_gemma":0.0003030399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007004307,"about_ca_topic_score_gemma":0.0004477996,"domain_scores_codex":[0.9998821,0.00001070225,0.000006242424,0.00003333996,0.00003814726,0.00002951023],"domain_scores_gemma":[0.9998581,0.00001277814,0.00003646829,0.00001489408,0.00003013161,0.00004752979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000196272,0.00003225652,0.001413781,0.00003428742,0.00000656968,0.0001311676,0.000009891854,0.000188988,0.9908761,0.0007988921,0.0002458694,0.006065789],"study_design_scores_gemma":[0.00002123948,0.0003412493,0.01259415,0.00000962272,0.00001852157,0.001072684,0.00004422426,0.001897928,0.9724539,0.0005487632,0.01098147,0.00001627301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9581744,0.001576435,0.02561764,0.0003061155,0.0001379937,0.0000908038,0.001444903,0.0005041411,0.0121475],"genre_scores_gemma":[0.9824989,0.0005234271,0.008744932,0.00007973464,0.0000281577,0.00004798071,0.00168096,0.00005749246,0.006338421],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002624387,"threshold_uncertainty_score":0.008779466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437090744484626,"score_gpt":0.2259796889836845,"score_spread":0.2116087815388382,"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."}}