{"id":"W7164633685","doi":"","title":"Archival Version","year":2014,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Public health; Enforcement; Public health surveillance; Terrorism; Public health informatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008038539,0.0006566803,0.0005311278,0.008161644,0.004352107,0.01006713,0.002069409,0.001119063,0.3035809],"category_scores_gemma":[0.02521819,0.0006095608,0.0005635448,0.01195907,0.001757809,0.007169038,0.005685665,0.002383298,0.1387266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005490889,"about_ca_system_score_gemma":0.01065805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03386413,"about_ca_topic_score_gemma":0.0533891,"domain_scores_codex":[0.9953002,0.0009381262,0.0004830483,0.0007564441,0.00213201,0.0003902343],"domain_scores_gemma":[0.9816599,0.002429456,0.0004362173,0.005557603,0.009321575,0.0005951867],"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":[0.0001101946,0.00004644931,0.00117412,0.0003999748,0.000008612686,0.00009978079,0.007625289,0.0001167807,0.0003548494,0.03947309,0.8279697,0.1226211],"study_design_scores_gemma":[0.000004423622,0.000003271048,0.0008594451,0.0001369849,0.000002316035,0.00003232623,0.002066324,0.00003759462,0.0001139742,0.002306009,0.9944296,0.000007785631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005120449,0.0004837863,0.01377966,0.003543013,0.003104198,0.001386888,0.1816697,0.002948039,0.7879643],"genre_scores_gemma":[0.03041904,0.0009406194,0.02278678,0.001292891,0.0005342151,0.003007579,0.1249384,0.005450394,0.8106301],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6964191,"threshold_uncertainty_score":0.9933572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916598507463086,"score_gpt":0.3084290626340799,"score_spread":0.2792630775594491,"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."}}