{"id":"W4389382319","doi":"10.33965/mccsis2023_202305r004","title":"TOWARDS EXPLAINABLE MACHINE LEARNING OPERATIONS (MLOPS)","year":2023,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Field (mathematics); Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008098586,0.001458522,0.0009762429,0.001582127,0.0008490741,0.005077779,0.002722164,0.002098583,0.004873005],"category_scores_gemma":[0.02638324,0.0007775004,0.001695182,0.00215213,0.004663573,0.01255735,0.009006552,0.006891811,0.001228322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466752,"about_ca_system_score_gemma":0.002790817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001788941,"about_ca_topic_score_gemma":0.001384191,"domain_scores_codex":[0.9947819,0.002271702,0.0004410298,0.0007305742,0.001424651,0.0003500834],"domain_scores_gemma":[0.9864915,0.008135612,0.001356352,0.002007299,0.001482348,0.000526804],"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":[0.0000707868,0.00005613278,0.0007324825,0.0002128902,0.00004101071,0.0001148241,0.0004114485,0.03533761,0.0009532541,0.9005721,0.002156048,0.05934137],"study_design_scores_gemma":[0.00001480963,0.0000472905,0.0001196101,0.00006190313,0.0000127358,0.00004112123,0.0001332178,0.1430715,0.0006239722,0.8472009,0.00865527,0.00001763766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007662936,0.0005310444,0.986169,0.001622225,0.00009380538,0.00009831817,0.0001373572,0.0003297799,0.003355523],"genre_scores_gemma":[0.177582,0.001843723,0.8146949,0.000787904,0.0005291383,0.0004524919,0.0008128737,0.0003184597,0.002978559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008098586,"threshold_uncertainty_score":0.04282993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714587432849623,"score_gpt":0.2782047210135827,"score_spread":0.2510588466850865,"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."}}