{"id":"W7153895348","doi":"10.1145/3772318.3808890","title":"10.1145/3772318.3808890","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); Key (lock); Training (meteorology)","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":[0.001742019,0.003841714,0.002483714,0.003115838,0.002535114,0.00488878,0.003206184,0.005439169,0.9471372],"category_scores_gemma":[0.003348903,0.001949386,0.001348444,0.01032029,0.00147207,0.01141661,0.005584563,0.002813105,0.9638841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002515978,"about_ca_system_score_gemma":0.001211036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986839,"about_ca_topic_score_gemma":0.01539441,"domain_scores_codex":[0.9992151,0.00005500188,0.00006943414,0.0002404126,0.0002604947,0.0001594975],"domain_scores_gemma":[0.9986285,0.0003218463,0.0000702793,0.0004507973,0.0003043445,0.0002242378],"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":[0.0002492797,0.000172592,0.0004559234,0.000745339,0.00004696664,0.0002329586,0.0001064564,0.0007035554,0.001295554,0.006793049,0.6581821,0.3310162],"study_design_scores_gemma":[0.00003808569,0.00003167198,0.000773217,0.0002807902,0.00004651472,0.0001459266,0.00008164474,0.0008367672,0.0004709734,0.001622174,0.9956328,0.00003936408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00245549,0.007325247,0.01346437,0.001370273,0.002095073,0.0005230292,0.01764775,0.01843785,0.9366808],"genre_scores_gemma":[0.003978402,0.002870472,0.00243798,0.0007072373,0.0001335589,0.0002515796,0.009771051,0.001979185,0.9778706],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05286276,"threshold_uncertainty_score":0.07540226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015365149003846,"score_gpt":0.1978542969357854,"score_spread":0.1877006454457469,"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."}}