{"id":"W3049425455","doi":"10.1111/exsy.12621","title":"Visual interpretation of regression error","year":2020,"lang":"en","type":"article","venue":"Expert Systems","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Computer science; Machine learning; Black box; Context (archaeology); Artificial intelligence; Visualization; Reliability (semiconductor); Regression; Interpretation (philosophy); Regression analysis; Point (geometry); Data mining; Data science; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00197603,0.001534885,0.0005500307,0.002688989,0.0002662128,0.002893833,0.0009615032,0.0011347,0.02262463],"category_scores_gemma":[0.01514869,0.0002729557,0.0005749977,0.0009423959,0.0006109177,0.001754312,0.001417241,0.001387342,0.00210525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005448267,"about_ca_system_score_gemma":0.0003958342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002197878,"about_ca_topic_score_gemma":0.001043183,"domain_scores_codex":[0.9991906,0.0003346816,0.00004968174,0.0001189223,0.0002379757,0.00006805367],"domain_scores_gemma":[0.9935795,0.004037572,0.0005222542,0.0006697236,0.001085684,0.0001053102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00109677,0.0001598835,0.005744445,0.001482993,0.0001504371,0.001275463,0.002283218,0.39877,0.03863737,0.1187493,0.06216635,0.3694838],"study_design_scores_gemma":[0.00005501385,0.0001193425,0.003732943,0.0004515769,0.00004221097,0.0002893584,0.0004044022,0.8701649,0.01810079,0.05600459,0.05052608,0.0001087635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03387414,0.0009948005,0.9266921,0.002304966,0.0007839153,0.0001313188,0.002808952,0.01452879,0.01788105],"genre_scores_gemma":[0.6870636,0.001290172,0.2962962,0.000550946,0.0004270077,0.0002337537,0.001999781,0.003071329,0.009067172],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02262463,"threshold_uncertainty_score":0.07568699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04896243409861682,"score_gpt":0.3323753275942494,"score_spread":0.2834128934956325,"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."}}