{"id":"W7096969330","doi":"","title":"Research Initiative","year":2016,"lang":"en","type":"article","venue":"","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; General partnership; Task force; Task (project management); Identification (biology); Work (physics)","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":[0.0002280363,0.00002626865,0.00005524919,0.00004726307,0.00002526555,0.000002916891,0.00002216939,0.00002405033,0.001424552],"category_scores_gemma":[0.000143616,0.00001166148,0.00001582417,0.00008507385,0.00005328718,0.00002926923,0.00002161295,0.00005293572,0.001582812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002484231,"about_ca_system_score_gemma":0.0000374266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001786989,"about_ca_topic_score_gemma":0.000003629052,"domain_scores_codex":[0.99955,0.00003281513,0.00003976367,0.00007696571,0.0001480726,0.0001524213],"domain_scores_gemma":[0.9995508,0.0001922286,0.000003959387,0.0001135497,0.00006606297,0.00007345177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003105018,0.0002133235,0.03474922,0.00005213574,0.00006859902,0.0001656722,0.000633746,1.415973e-8,0.2276302,0.06231286,0.3405215,0.3333423],"study_design_scores_gemma":[0.004901887,0.002111334,0.5370709,0.000420567,0.00001947788,0.00006779595,0.0007369826,0.00001233203,0.2802286,0.006900482,0.1673425,0.0001872162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5486335,0.00004850138,0.0004125375,0.01241031,0.0000483013,0.0001367178,9.547325e-7,0.00005652267,0.4382526],"genre_scores_gemma":[0.9810605,0.00001050915,0.0002220978,0.0004265792,0.0001159673,0.000007988385,2.887262e-7,0.00000503933,0.01815104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5023217,"threshold_uncertainty_score":0.9994883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1645955660298174,"score_gpt":0.4299651557019644,"score_spread":0.265369589672147,"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."}}