{"id":"W7130596058","doi":"10.1109/fllm67465.2025.11391001","title":"FalconAI: Cloud-based Automatic Execution of AI Workflows","year":2025,"lang":"","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Workflow; Software deployment; Orchestration; Container (type theory); Scheduling (production processes); Key (lock)","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":[0.001938899,0.001339423,0.0006336029,0.0008457159,0.0008189068,0.001763017,0.00268391,0.0005986043,0.004398054],"category_scores_gemma":[0.003995134,0.0006134728,0.0007672101,0.000694848,0.0007580497,0.001727,0.002190033,0.001936748,0.002078756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312378,"about_ca_system_score_gemma":0.002672158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01429742,"about_ca_topic_score_gemma":0.01186269,"domain_scores_codex":[0.9985543,0.0002323422,0.00009879546,0.0003688122,0.0005231251,0.000222595],"domain_scores_gemma":[0.9968214,0.0008557157,0.0002243554,0.001026054,0.0006547312,0.0004177587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00460602,0.001545868,0.01566201,0.001026227,0.0004828654,0.002085321,0.0009587328,0.2485569,0.0916972,0.0370902,0.1368838,0.4594049],"study_design_scores_gemma":[0.0001470421,0.00008595192,0.001370093,0.00003162359,0.00002053842,0.0001220828,0.00006510559,0.9500747,0.0200004,0.006554652,0.02147732,0.00005041796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0446282,0.000508432,0.7027168,0.000591571,0.0004599488,0.0007875782,0.00150234,0.2360426,0.01276259],"genre_scores_gemma":[0.45991,0.0004700075,0.5197115,0.0006235446,0.0001005405,0.0004651903,0.006264243,0.00677404,0.00568088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01429742,"threshold_uncertainty_score":0.02842844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05257658393244331,"score_gpt":0.3831639344672755,"score_spread":0.3305873505348322,"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."}}