{"id":"W7054915742","doi":"","title":"2022-12-04 - BTWRLM501 - Neuromorphic Digital Biolweaponology","year":2022,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pentagon; Complementarity (molecular biology); Upstream (networking); Government (linguistics); Haven; Credit card","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000800573,0.0009246983,0.0007834195,0.0008701366,0.0000439445,0.0002026648,0.001766759,0.0002150216,0.05370402],"category_scores_gemma":[0.00003277863,0.0009620941,0.0004468912,0.0001874167,0.0004000116,0.0001092923,0.001034189,0.001480976,0.005637139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009920469,"about_ca_system_score_gemma":0.00005685909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547479,"about_ca_topic_score_gemma":0.003169713,"domain_scores_codex":[0.9968801,0.0001606649,0.0006581825,0.001066118,0.000362717,0.0008722909],"domain_scores_gemma":[0.9980772,0.0002912977,0.0002133127,0.00107102,0.00001146392,0.0003356688],"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":[0.00004345605,0.0001208068,0.0001923828,0.0001176128,0.000477689,0.0001850399,0.000445702,0.00007436373,0.0007621725,0.002877608,0.9941067,0.0005964547],"study_design_scores_gemma":[0.0005642707,0.0002210031,0.0001244765,0.0001540674,0.00006869212,0.0001627855,0.00003145519,0.006178918,0.0001729089,0.001765059,0.9896414,0.0009149841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006383599,0.0005220959,0.01193603,0.0001172412,0.001403847,0.0009100513,0.005373942,0.002004074,0.9770944],"genre_scores_gemma":[0.01951721,0.0003774619,0.0005027085,0.000252352,0.0006649137,0.0004971466,0.004756751,0.001285849,0.9721456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04806688,"threshold_uncertainty_score":0.999283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485446683644141,"score_gpt":0.2057799332922906,"score_spread":0.1909254664558492,"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."}}