{"id":"W7052737213","doi":"","title":"The Silence Industry - The Silence Industry [enrmp120]","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silence; Film industry; Construction industry","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":[0.0009370319,0.0009508531,0.0004487853,0.001212287,0.00408243,0.004690906,0.001225561,0.002346076,0.4242137],"category_scores_gemma":[0.002042368,0.0005605641,0.0003319628,0.0013808,0.0009118202,0.002116577,0.001850973,0.00207238,0.2881664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00412571,"about_ca_system_score_gemma":0.008356214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2342257,"about_ca_topic_score_gemma":0.5143307,"domain_scores_codex":[0.9989417,0.00004400688,0.00001857941,0.0000781765,0.000736599,0.0001808893],"domain_scores_gemma":[0.9984294,0.00009464619,0.00004692606,0.00009491039,0.0009833035,0.0003508356],"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":[0.0000133796,0.000006304278,0.00002885397,0.00002508261,4.807167e-7,0.00001716327,0.00004153735,0.00001172118,0.0001933523,0.002411345,0.9767934,0.02045725],"study_design_scores_gemma":[0.0000022151,0.000004056405,0.0002440347,0.00002296537,7.592421e-7,0.00001362437,0.0000532043,0.00001479414,0.0001853923,0.0002121355,0.9992423,0.000004473456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003253405,0.001471803,0.0006644363,0.003101337,0.001023695,0.00008442069,0.002969799,0.001474195,0.9888849],"genre_scores_gemma":[0.00062746,0.0003670045,0.0001881499,0.0004385729,0.00005480593,0.0000146817,0.0006960242,0.0003121145,0.9973012],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4242137,"threshold_uncertainty_score":0.8212892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007092485236738718,"score_gpt":0.2119153686428224,"score_spread":0.2048228834060837,"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."}}