{"id":"W4405416023","doi":"10.1002/aisy.202400193","title":"The Risks and Rewards of Embodying Artificial Intelligence with Cloud‐Based Laboratories","year":2024,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cloud computing; Computer science; Artificial intelligence; 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":[0.0006858901,0.0003119303,0.0003289388,0.0002073622,0.0003511981,0.0009318372,0.0004421097,0.00009066163,0.00003398237],"category_scores_gemma":[0.0002157244,0.0001956163,0.00006055435,0.00128654,0.0003995119,0.00101684,0.0001332745,0.00024442,0.00009652851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004049315,"about_ca_system_score_gemma":0.00007840885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005681032,"about_ca_topic_score_gemma":0.0001774838,"domain_scores_codex":[0.9979237,0.00002420546,0.0006837765,0.0005005941,0.0004753421,0.0003924279],"domain_scores_gemma":[0.9984188,0.000337201,0.0002654548,0.0005043069,0.0004493785,0.00002485041],"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":[0.0004073732,0.0000887345,0.002943452,0.002768898,0.0001577082,0.00003632681,0.0001971722,0.01048462,0.002295957,0.7837233,0.0008546587,0.1960418],"study_design_scores_gemma":[0.0001268254,0.0001674985,0.0003375846,0.004240339,0.0002762699,0.00003107936,0.007168068,0.1649378,0.03760965,0.01746081,0.7663701,0.001273977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2188467,0.04751284,0.7035965,0.002191598,0.01663336,0.00267828,0.000118864,0.001137429,0.00728441],"genre_scores_gemma":[0.9981468,0.0003561031,0.000230574,0.00008423122,0.0009136561,0.00006382015,0.00002393422,0.00004863739,0.0001322485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7793,"threshold_uncertainty_score":0.8985727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08776528949348657,"score_gpt":0.3224791289004691,"score_spread":0.2347138394069825,"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."}}