{"id":"W7008325208","doi":"","title":"BILDERBERG (#3) DEMAND DESTRUCTION: Daniel Estulin","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elite; Population; Mantra; Front (military); George (robot); Argument (complex analysis)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002099576,0.0004441166,0.0001590171,0.0006016074,0.003545339,0.004370821,0.0004357386,0.001771433,0.1987937],"category_scores_gemma":[0.0008665856,0.0002522346,0.0001341867,0.0008479346,0.0005396854,0.00269036,0.001543892,0.001694802,0.07020225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002507763,"about_ca_system_score_gemma":0.001665715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04161874,"about_ca_topic_score_gemma":0.1061571,"domain_scores_codex":[0.999739,0.00002347984,0.000007755038,0.00004191978,0.0001189826,0.00006888156],"domain_scores_gemma":[0.9997738,0.00004435597,0.00001740012,0.00001698414,0.00008033728,0.00006710005],"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":[0.000004787803,0.000004308507,0.00006511378,0.00001527115,3.117152e-7,0.00003942889,0.0001700281,0.00001236947,0.00004718939,0.003636103,0.9885594,0.007445517],"study_design_scores_gemma":[5.111005e-7,0.000001228768,0.0001343234,0.00001393854,2.468628e-7,0.00003355055,0.0002493171,0.000006452519,0.0000567999,0.0001554894,0.9993464,0.000001647532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001842972,0.007679068,0.0002467516,0.0229756,0.002567795,0.00002127158,0.0008046169,0.0003050366,0.9635568],"genre_scores_gemma":[0.00453118,0.001409273,0.00004715822,0.002749272,0.0001627456,0.000006968193,0.0001098149,0.00008792948,0.9908956],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1987937,"threshold_uncertainty_score":0.6650313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00735564334059874,"score_gpt":0.2011596807122076,"score_spread":0.1938040373716089,"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."}}