{"id":"W7154007040","doi":"10.1145/3772318.3809007","title":"10.1145/3772318.3809007","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); User interface; Interface (matter); Component (thermodynamics)","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":[0.001753653,0.003702833,0.002435178,0.003193459,0.00249924,0.004855668,0.003137011,0.005257357,0.9446538],"category_scores_gemma":[0.003236819,0.001858643,0.001406499,0.009750186,0.001465125,0.0108817,0.005845365,0.00279307,0.9630904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002452721,"about_ca_system_score_gemma":0.001176215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919005,"about_ca_topic_score_gemma":0.01619717,"domain_scores_codex":[0.9992014,0.00005503282,0.00007047161,0.0002370439,0.0002796597,0.0001563781],"domain_scores_gemma":[0.9985867,0.0003217129,0.00006806937,0.0004884146,0.0003075581,0.0002275391],"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":[0.0002394862,0.0001609741,0.000471881,0.000655652,0.00004847916,0.0002249183,0.00009959922,0.0006379401,0.001349639,0.007087112,0.645759,0.3432653],"study_design_scores_gemma":[0.00003214981,0.00002689327,0.0007547004,0.0002537853,0.00004198552,0.0001379273,0.00006870076,0.0007021014,0.0004726582,0.001540183,0.9959346,0.00003414731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002180107,0.006782782,0.01206101,0.001328899,0.001932694,0.0004526747,0.01632462,0.01648048,0.9424567],"genre_scores_gemma":[0.003499622,0.002681522,0.002270942,0.000658812,0.0001239948,0.0002131702,0.00925544,0.001968162,0.9793283],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05534619,"threshold_uncertainty_score":0.07894462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031343120523157,"score_gpt":0.1999362016933866,"score_spread":0.1896227704881551,"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."}}