{"id":"W4406432126","doi":"10.1016/s0765-2046(98)80070-1","title":"10.1016/s0765-2046(98)80070-1","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biological warfare; Convention; Political science; Law; Computer security; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001563638,0.003568759,0.002497036,0.003592453,0.003356733,0.004689012,0.0038807,0.007524951,0.9888049],"category_scores_gemma":[0.002375275,0.001188023,0.001732859,0.002861579,0.002641021,0.00671691,0.004176293,0.003977444,0.9935807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396269,"about_ca_system_score_gemma":0.001554718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00457353,"about_ca_topic_score_gemma":0.004224715,"domain_scores_codex":[0.9991457,0.00005919414,0.00007248585,0.0002932474,0.0002252728,0.0002039902],"domain_scores_gemma":[0.9970477,0.0007248375,0.0002075027,0.000284089,0.0005894618,0.001146422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004792987,0.0002865352,0.0009124879,0.0007300731,0.0000420964,0.000261796,0.0001411552,0.0004383834,0.001913935,0.006127834,0.3976612,0.5910053],"study_design_scores_gemma":[0.00006721787,0.000148815,0.0007007209,0.000407167,0.00001580804,0.0003643855,0.0001376662,0.0001888665,0.0002509212,0.0006063048,0.9970881,0.00002396087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004014845,0.0004713011,0.0005356267,0.0004929765,0.0003652037,0.0001300843,0.000454768,0.0007650225,0.9963835],"genre_scores_gemma":[0.0004515844,0.0002341833,0.0003519899,0.0002953876,0.00008968533,0.00008924457,0.0002653566,0.0001326708,0.9980898],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01119512,"threshold_uncertainty_score":0.0159685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599927572128767,"score_gpt":0.2557850634225365,"score_spread":0.2397857877012489,"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."}}