{"id":"W2005243598","doi":"10.2202/1547-7355.1041","title":"Protecting Soft Targets - the JW Marriott Jakarta Case Study","year":2004,"lang":"en","type":"article","venue":"Journal of Homeland Security and Emergency Management","topic":"Halal products and consumer behavior","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Marriott International (Canada)","funders":"","keywords":"Terrorism; Business; Work (physics); Operations management; Computer security; Political science; Engineering; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002243109,0.0001128889,0.0001767107,0.0000829559,0.00117418,0.00007982937,0.0002147359,0.00003620223,0.0002155015],"category_scores_gemma":[0.00005870057,0.00007333708,0.00007756804,0.0002207405,0.00007262912,0.0002244423,0.00008356638,0.0003114256,0.000005620905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003969172,"about_ca_system_score_gemma":0.00004053121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00250689,"about_ca_topic_score_gemma":0.006252154,"domain_scores_codex":[0.9985478,0.000212849,0.000407112,0.000156656,0.0004216307,0.0002539354],"domain_scores_gemma":[0.9994051,0.00001754542,0.0002045914,0.0001439244,0.0001090529,0.0001197425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001943732,0.003413765,0.09879466,0.0002695222,0.001104403,0.01676948,0.7010524,0.0001612551,0.00003208476,0.008012171,0.002906505,0.1672894],"study_design_scores_gemma":[0.003056151,0.0009020487,0.02018907,0.00009235088,0.000808658,0.0008146965,0.7853193,0.00001334329,0.00002507121,0.01584401,0.172321,0.0006142764],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922423,0.001711954,0.00006552299,0.00258423,0.0008288129,0.0007553456,0.000001230212,0.00001135136,0.001799304],"genre_scores_gemma":[0.9981723,0.001067456,0.0000502264,0.00002133914,0.0002934909,0.0000142284,1.493857e-7,0.000006688042,0.0003741649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1694145,"threshold_uncertainty_score":0.9030963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208924529482003,"score_gpt":0.3105463891581519,"score_spread":0.2884571438633318,"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."}}