{"id":"W7014812783","doi":"","title":"Quality Issues in Machine Learning Software Systems: Definition and Remedies","year":2023,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Limiting; Software quality; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02051821,0.001049886,0.0009746839,0.005746194,0.00195897,0.008946207,0.002442803,0.003463001,0.003457274],"category_scores_gemma":[0.06657591,0.001006613,0.00107289,0.006255593,0.008808789,0.01155689,0.004977509,0.004169818,0.0005848648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006439358,"about_ca_system_score_gemma":0.00379726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004387002,"about_ca_topic_score_gemma":0.002355885,"domain_scores_codex":[0.9756865,0.006518051,0.003112381,0.002055308,0.0116222,0.001005531],"domain_scores_gemma":[0.908056,0.04487642,0.016288,0.007178574,0.02187132,0.001729686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000117238,0.0002301729,0.02846355,0.002600046,0.0001463949,0.0005807125,0.002781841,0.03394083,0.001708653,0.5840918,0.009551927,0.3357868],"study_design_scores_gemma":[0.00007402802,0.0003836938,0.01646047,0.003146794,0.0002014543,0.002338142,0.003106303,0.1586504,0.006366275,0.6816804,0.1274073,0.0001848089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06452034,0.08515728,0.7624369,0.04467852,0.00101663,0.0005077596,0.0002882557,0.001013941,0.04038034],"genre_scores_gemma":[0.802122,0.02404912,0.1603155,0.001217147,0.001542949,0.0003216726,0.0003276806,0.0002393175,0.009864668],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02051821,"threshold_uncertainty_score":0.108512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609211687567772,"score_gpt":0.2709659700909556,"score_spread":0.2448738532152779,"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."}}