{"id":"W7134275419","doi":"10.1145/3742413.3801713","title":"10.1145/3742413.3801713","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); Component (thermodynamics); MEDLINE","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":[0.0002611668,0.0001632725,0.0001632262,0.0001117022,0.0001637693,0.0002205194,0.001286508,0.00006126917,0.9547409],"category_scores_gemma":[0.00005234961,0.0001661046,0.00006590375,0.0006406567,0.00003853258,0.0005326901,0.0001765833,0.0001097703,0.9902503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005350125,"about_ca_system_score_gemma":0.00004955223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007047788,"about_ca_topic_score_gemma":7.122533e-7,"domain_scores_codex":[0.9984756,0.00005776465,0.0002418291,0.0004456609,0.0002943046,0.0004848145],"domain_scores_gemma":[0.9987425,0.0000800304,0.00003230436,0.0008356058,0.0000834346,0.0002261217],"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":[0.00001322866,0.00004989261,2.147877e-7,0.000002475492,0.00000638267,0.00002445393,0.0001046895,0.0004951193,0.0001942084,0.0003705775,0.07487684,0.9238619],"study_design_scores_gemma":[0.00004168562,0.0001239819,0.000008290856,0.00001009745,0.000002861948,0.00001146858,0.00000169544,0.02225467,0.002929694,0.0003321697,0.9740652,0.000218217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006183335,0.00004244627,0.001603948,0.001227688,0.00001037568,0.0001981609,0.000002096322,0.0004035275,0.9958934],"genre_scores_gemma":[0.001252986,4.431757e-7,0.002964515,0.0002917919,0.0001058758,0.0000231735,0.000001820278,0.00001620551,0.9953432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9236437,"threshold_uncertainty_score":0.6773548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043065792257064,"score_gpt":0.198582123939732,"score_spread":0.1881514660171614,"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."}}