{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005847726,0.001430455,0.0007578438,0.002770459,0.001441348,0.002947948,0.00124577,0.002791654,0.9710488],"category_scores_gemma":[0.001107686,0.0004905508,0.000667276,0.002389758,0.0007832928,0.002206666,0.002027827,0.001332059,0.9776384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014157,"about_ca_system_score_gemma":0.0006507647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006394546,"about_ca_topic_score_gemma":0.004247177,"domain_scores_codex":[0.9996007,0.00002412256,0.00002824261,0.0001127774,0.0001358601,0.00009827507],"domain_scores_gemma":[0.9990012,0.0001573501,0.00004347289,0.0001649668,0.0004198437,0.0002132092],"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":[0.0003122871,0.0002134491,0.00111038,0.0004173725,0.00002495726,0.0002308331,0.00009845065,0.0003802286,0.007513715,0.007759061,0.319496,0.6624432],"study_design_scores_gemma":[0.00004724495,0.00005514474,0.001160393,0.0001396651,0.0000160426,0.0002534861,0.0001016232,0.0005115345,0.001580212,0.001215878,0.994899,0.00001983197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001339881,0.0003482139,0.002312022,0.0004478679,0.0004847444,0.0001104278,0.001289328,0.002396678,0.9912709],"genre_scores_gemma":[0.002701571,0.0001655599,0.0009889067,0.0001992407,0.00004656704,0.00004822831,0.001215123,0.0003637991,0.994271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02895123,"threshold_uncertainty_score":0.04129541,"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."}}