{"id":"W4411658734","doi":"10.51847/z7bkiiwcqa","title":"10.51847/z7bKiIWCqA","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"IRIS (biosensor); Identity (music); Authentication (law); Biometrics; Iris recognition; Computer science; Communication; Psychology; Computer security; Art; Aesthetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001731598,0.00006595682,0.00007508653,0.0001674661,0.0000719563,0.0001506985,0.0006603954,0.00003582871,0.9625341],"category_scores_gemma":[0.00002213407,0.00006544824,0.00003512598,0.001137533,0.00001504431,0.0001793112,0.00006658958,0.00004916271,0.9876159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002104774,"about_ca_system_score_gemma":0.00002111829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001440984,"about_ca_topic_score_gemma":5.182804e-8,"domain_scores_codex":[0.999258,0.00002989618,0.0001211889,0.00023363,0.0001918651,0.000165422],"domain_scores_gemma":[0.9993276,0.00002517789,0.00001755192,0.0004652022,0.00004363831,0.000120841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002277032,0.00003014754,8.367164e-8,0.000001022122,0.000002483021,0.000001523512,0.00002277755,0.000003007001,0.00002468732,0.00009037962,0.0450633,0.9547583],"study_design_scores_gemma":[0.00007397268,0.0000256193,0.0002023224,0.000001741065,0.000001316854,0.000004242451,1.405073e-7,0.00298955,0.00004824766,0.00001576667,0.9965459,0.00009117467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002546101,0.00003989168,0.0007832601,0.001152977,0.000007711367,0.0000906012,0.000003031915,0.0002246529,0.9974433],"genre_scores_gemma":[0.0008182712,2.971723e-7,0.002068399,0.0001856754,0.00003574772,0.000005791017,0.000003277527,0.000004155726,0.9968784],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9546672,"threshold_uncertainty_score":0.2668902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009833810475010661,"score_gpt":0.1929604746097549,"score_spread":0.1831266641347443,"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."}}