{"id":"W4231958154","doi":"10.1016/s0969-4765(02)00904-9","title":"Iris recoconition deal worth C$39 is awarded in Canada","year":2002,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"IRIS (biosensor); Biometrics; Business; Iris recognition; Computer security; Computer science; Advertising; Internet privacy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001081732,0.0001617687,0.0002210879,0.002702591,0.00008214569,0.00004823183,0.000310508,0.0001703098,0.001469566],"category_scores_gemma":[0.00009118207,0.0001611902,0.0000359133,0.01127641,0.00005402686,0.0003264656,0.0001266145,0.0001967819,0.0004251426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003106787,"about_ca_system_score_gemma":0.00006460896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.496843,"about_ca_topic_score_gemma":0.466265,"domain_scores_codex":[0.9987836,0.000003781519,0.0002857193,0.0003208432,0.0002184148,0.0003875864],"domain_scores_gemma":[0.9993769,0.00002316409,0.0002336243,0.0002782871,0.00007755955,0.00001049944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009129632,0.00009094245,0.5434398,0.00003976321,0.00002382467,0.0001406584,0.000008972443,0.000001744686,0.0002666656,0.002339219,0.1358836,0.3177556],"study_design_scores_gemma":[0.0007301778,0.00001301509,0.1112016,0.00003318514,0.00001880497,0.000006500271,0.0001361962,0.0006109239,0.0003633969,0.001506375,0.8850378,0.000341938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979464,0.0009896756,0.00004899907,0.008217033,0.0003858577,0.0002102831,0.00001066339,0.000213318,0.01046018],"genre_scores_gemma":[0.9970217,0.0001455303,0.0001397981,0.00176856,0.0001555066,0.00002899821,0.0000109961,0.00001761819,0.0007112314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7491542,"threshold_uncertainty_score":0.9994432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018672265828224,"score_gpt":0.1878874000974491,"score_spread":0.1677006774391669,"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."}}