{"id":"W7020360076","doi":"","title":"Liquidmatrix Security Digest Podcast - Episode 60","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Iron oxide chemistry and applications","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paragraph; Encryption; State (computer science); Malware; Advice (programming); Obfuscation; Laptop","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":[0.0009786162,0.000677888,0.0004710935,0.0009732855,0.003811531,0.009472098,0.0009259022,0.003004487,0.7472163],"category_scores_gemma":[0.004706386,0.0005145187,0.0003930655,0.001267143,0.000413482,0.003709341,0.002872083,0.004014135,0.5435982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004294267,"about_ca_system_score_gemma":0.003112273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02174959,"about_ca_topic_score_gemma":0.04782298,"domain_scores_codex":[0.9986317,0.000097682,0.00004491194,0.00009983619,0.0008487299,0.0002772075],"domain_scores_gemma":[0.9982182,0.000198483,0.00009535397,0.0001799727,0.0009240001,0.0003838996],"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":[0.00001006396,0.000007019006,0.00001925574,0.00001692331,2.094733e-7,0.00001491532,0.00002329276,0.000004098232,0.00004050029,0.0008709399,0.9954196,0.00357318],"study_design_scores_gemma":[0.000004044037,0.000006055219,0.000190474,0.00003001706,2.867355e-7,0.00001090094,0.00008322017,0.00001014344,0.00005081556,0.0001805769,0.9994311,0.000002433341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005750855,0.0005773131,0.0002343636,0.007432545,0.005566087,0.0002281784,0.006631141,0.001147666,0.9776077],"genre_scores_gemma":[0.00182033,0.0002166601,0.00008574938,0.001910488,0.000609746,0.00006313874,0.003266625,0.0003960523,0.9916312],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7472163,"threshold_uncertainty_score":0.3605652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00471244072962742,"score_gpt":0.1946341100111647,"score_spread":0.1899216692815373,"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."}}