{"id":"W4315642878","doi":"10.7202/1095387ar","title":"Daughter of the Iris","year":2023,"lang":"en","type":"article","venue":"The Trumpeter","topic":"Educational Leadership and Practices","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Daughter; IRIS (biosensor); Art; Computer science; Artificial intelligence; Biology; Evolutionary biology; Biometrics","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":[],"consensus_categories":[],"category_scores_codex":[0.001079558,0.0003918507,0.0004732916,0.0006659583,0.00501066,0.003368434,0.0007507103,0.001645578,0.1136231],"category_scores_gemma":[0.006210473,0.0002469415,0.0002913645,0.000334497,0.001356897,0.001948932,0.00319951,0.00775985,0.03938942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397863,"about_ca_system_score_gemma":0.003374195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005771869,"about_ca_topic_score_gemma":0.01330424,"domain_scores_codex":[0.9992871,0.0001407915,0.00002221157,0.0001394613,0.0002435904,0.0001669442],"domain_scores_gemma":[0.9979029,0.0002267998,0.00008122081,0.00007001398,0.000414188,0.001304885],"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":[0.00004497814,0.0000366738,0.0005986585,0.00003027741,0.000003326241,0.0006051354,0.000655319,0.000009659611,0.0001126189,0.01061862,0.9466643,0.04062037],"study_design_scores_gemma":[0.00000692985,0.00001969708,0.0003568539,0.00007393835,0.000003359921,0.001115034,0.0008154034,0.00001326216,0.00007903515,0.001421959,0.996087,0.000007608078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006601754,0.01729558,0.0008587279,0.5782068,0.07055955,0.00005521034,0.0005486947,0.0003109645,0.3255628],"genre_scores_gemma":[0.02202797,0.00612991,0.0007241138,0.06447687,0.006542344,0.00003937312,0.0001205345,0.0001664618,0.8997724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1136231,"threshold_uncertainty_score":0.380107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09291094616633983,"score_gpt":0.3813619658113223,"score_spread":0.2884510196449825,"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."}}