{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002319735,0.000745895,0.0004303312,0.001293266,0.005425186,0.009084582,0.0005940551,0.00544836,0.0621682],"category_scores_gemma":[0.01190685,0.0003510972,0.0004330191,0.0008559961,0.00382555,0.006737569,0.00372734,0.00680709,0.01170749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003252177,"about_ca_system_score_gemma":0.002983674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007002306,"about_ca_topic_score_gemma":0.01154375,"domain_scores_codex":[0.9970764,0.0007580561,0.0001421803,0.0003096662,0.001146687,0.0005670352],"domain_scores_gemma":[0.996547,0.001094505,0.000353486,0.0002687066,0.00102774,0.0007085001],"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":[0.00008046508,0.00001983723,0.001121576,0.0001350069,0.000008961846,0.0003770544,0.003071439,0.00008374421,0.0004390985,0.06966606,0.8644179,0.06057892],"study_design_scores_gemma":[0.000002791775,0.00001647879,0.0004990921,0.00009590928,0.000001895163,0.0001771475,0.00137516,0.0000424694,0.0001117688,0.003514897,0.9941549,0.000007475569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008582777,0.01385986,0.00284845,0.1807365,0.02920819,0.00009302932,0.0007125456,0.0004142171,0.7635444],"genre_scores_gemma":[0.1663162,0.009891119,0.001692482,0.08443522,0.00760367,0.00007748294,0.0007483983,0.0003099069,0.7289256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0621682,"threshold_uncertainty_score":0.2079734,"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."}}