{"id":"W7154039155","doi":"10.1145/3772318.3809003","title":"10.1145/3772318.3809003","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); Session key; Attendance","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":[0.001921564,0.003892502,0.002570522,0.003211231,0.002594274,0.005053909,0.003270902,0.005552773,0.9487519],"category_scores_gemma":[0.003318943,0.002071138,0.001503173,0.01007832,0.001552232,0.0113872,0.006114526,0.002965461,0.965597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002558575,"about_ca_system_score_gemma":0.001187348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000832,"about_ca_topic_score_gemma":0.01649556,"domain_scores_codex":[0.9991707,0.00005621722,0.00007584438,0.0002539462,0.0002794242,0.0001638732],"domain_scores_gemma":[0.998516,0.0003436856,0.00007381302,0.0005153532,0.0003075592,0.0002435752],"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":[0.0002705422,0.000181805,0.0005241078,0.0007073792,0.00005430659,0.0002574812,0.0001049924,0.0006867514,0.001468977,0.007120493,0.6508017,0.3378215],"study_design_scores_gemma":[0.00003768054,0.00003082493,0.0008226981,0.0002769525,0.00004747045,0.0001544282,0.00007717819,0.0007945079,0.0005123578,0.001627138,0.9955803,0.00003845902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002337457,0.006675805,0.01262289,0.001378139,0.002016095,0.0004956547,0.0171554,0.01769442,0.9396241],"genre_scores_gemma":[0.003572117,0.002636945,0.002315981,0.000687163,0.0001263426,0.0002247098,0.008943916,0.001959957,0.9795329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05124813,"threshold_uncertainty_score":0.07309926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004772885008773,"score_gpt":0.1973599902017016,"score_spread":0.1873122613516139,"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."}}