{"id":"W4221061314","doi":"10.1145/3517207.3526984","title":"Apache submarine","year":2022,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apache (Canada)","funders":"","keywords":"Software portability; Computer science; Submarine; Productivity; Software engineering; Data science; World Wide Web; Engineering management; Engineering; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001914603,0.00003900934,0.00004129056,0.00004878658,0.0000942439,0.00004226694,0.001137125,0.000005676408,0.0004288715],"category_scores_gemma":[0.00001109042,0.00003703855,0.000015737,0.0002320413,0.000008634393,0.000161166,0.001933463,0.00007662123,0.00003042177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000273392,"about_ca_system_score_gemma":0.00001854245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006615905,"about_ca_topic_score_gemma":0.000002694153,"domain_scores_codex":[0.9994847,0.00002742791,0.00005969263,0.0001649055,0.0001573477,0.0001059903],"domain_scores_gemma":[0.9993902,0.00002097713,0.00001744797,0.0005385235,0.000007716023,0.00002511311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001114693,0.00006009546,0.00140444,0.000001191935,0.00000454128,0.00002414817,0.0001581233,0.000004447796,0.0003341954,0.602422,0.2282164,0.1673693],"study_design_scores_gemma":[0.0001828023,0.000282062,0.002725189,0.000001127453,0.000002209202,0.0001170735,0.00005099986,0.02219918,0.008745639,0.03486301,0.9305447,0.000286057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004236295,0.00001420256,0.8076165,0.00243565,0.0001833552,0.00008614597,0.00000624535,0.00188068,0.1835409],"genre_scores_gemma":[0.5558091,0.000001022537,0.4385291,0.001017967,0.00001479542,0.00005041435,0.00000868743,0.000004770075,0.004564114],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7023283,"threshold_uncertainty_score":0.4695842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693454659448132,"score_gpt":0.2369841118802054,"score_spread":0.220049565285724,"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."}}