{"id":"W7154168698","doi":"10.1145/3772318.3808976","title":"10.1145/3772318.3808976","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002637353,0.000164047,0.0001643128,0.0001130985,0.0001545165,0.0002139106,0.001274185,0.00006162467,0.9587592],"category_scores_gemma":[0.00005262535,0.0001668701,0.0000664692,0.000672551,0.00003916462,0.0005266694,0.0001728286,0.0001094683,0.9921706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005477442,"about_ca_system_score_gemma":0.00005238855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006714277,"about_ca_topic_score_gemma":6.846374e-7,"domain_scores_codex":[0.9984628,0.00005743374,0.0002446595,0.0004487198,0.0002970881,0.0004892946],"domain_scores_gemma":[0.9987503,0.0000796682,0.0000319793,0.000827444,0.00008237311,0.0002282041],"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":[0.00001383464,0.0000513658,1.732546e-7,0.000002456158,0.000006565333,0.00002465148,0.0001008345,0.0006673168,0.0002189677,0.0004328455,0.08206414,0.9164168],"study_design_scores_gemma":[0.00004335468,0.0001452903,0.00001029483,0.00001055448,0.000002896778,0.00001164584,0.000001698952,0.0131547,0.003407555,0.0003580118,0.9826328,0.0002212449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006473311,0.00004363918,0.001378193,0.00127359,0.00001063645,0.0001974527,0.00000207829,0.0004090742,0.996038],"genre_scores_gemma":[0.001124051,4.852569e-7,0.003565604,0.0003092606,0.0001093889,0.00002245954,0.000001860455,0.00001631727,0.9948506],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9161956,"threshold_uncertainty_score":0.6804766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102177920855491,"score_gpt":0.1979375609914797,"score_spread":0.1877197689059306,"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."}}