{"id":"W4213034822","doi":"10.21810/jicw.v4i3.4188","title":"Tradecraft of Warning","year":2022,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Warning system; Warning signs; Officer; Presentation (obstetrics); Chief executive officer; Public relations; Political science; Key (lock); Computer security; Business; Management; Engineering; Computer science; Medicine; Law; Telecommunications; Economics; Transport engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003020593,0.0001135259,0.0002562524,0.0001362958,0.0008249042,0.00003469344,0.0008252269,0.00005015011,0.0009208654],"category_scores_gemma":[0.0002878047,0.000083368,0.0001175675,0.0003980809,0.0005460733,0.0001607109,0.0001125931,0.0005832714,0.000003905084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006380225,"about_ca_system_score_gemma":0.000272283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007144884,"about_ca_topic_score_gemma":0.00009786331,"domain_scores_codex":[0.997807,0.0005464457,0.0005715843,0.00009170729,0.0007136076,0.0002696448],"domain_scores_gemma":[0.998422,0.0004828387,0.0005252733,0.0001460449,0.0003109477,0.000112958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005071598,0.0002993553,0.00421624,0.00007192747,0.0002340388,0.00007786469,0.7258705,0.003488235,0.003083264,0.1636615,0.0023023,0.0961876],"study_design_scores_gemma":[0.0002033002,0.001694619,0.0009868953,0.0001315997,0.0001717054,0.0003848153,0.5301077,0.0005892318,0.02087167,0.01536283,0.4290533,0.0004423234],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594887,0.01387781,0.00375463,0.005352909,0.00119623,0.0003515189,0.00001796834,0.00002632329,0.01593392],"genre_scores_gemma":[0.9956663,0.003374652,0.0000779341,0.0001612188,0.0001709899,0.000001903631,4.757741e-7,0.000009318589,0.0005372489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.426751,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05078489441016844,"score_gpt":0.3302664393487645,"score_spread":0.2794815449385961,"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."}}