{"id":"W4376622252","doi":"10.55092/aias20230002","title":"Autonomous and sustainable machine learning: pursuing new horizons of intelligent systems","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence and Autonomous Systems","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Credibility; Computer science; Process (computing); Artificial intelligence; Reinforcement learning; Identification (biology); Function (biology); Machine learning; Action (physics); Risk analysis (engineering); Human–computer interaction; Data science","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":[0.002311484,0.0002093969,0.0004032179,0.0003776683,0.000870963,0.0006009021,0.0002339854,0.0001658502,0.00005430281],"category_scores_gemma":[0.0005657994,0.0002006278,0.00006148421,0.0007888874,0.0002905274,0.0005207517,0.0001260627,0.0002117917,0.0001412581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264672,"about_ca_system_score_gemma":0.0004338512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02816154,"about_ca_topic_score_gemma":0.0004278013,"domain_scores_codex":[0.9975033,0.0002300853,0.0008142439,0.0003019629,0.0003982909,0.0007521379],"domain_scores_gemma":[0.9986258,0.0002657595,0.000323437,0.0001941925,0.0001910892,0.0003996933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002883576,0.00004711106,0.0006303072,0.0003047926,0.00005598773,0.00002067209,0.08798888,0.01126524,0.0002615244,0.8021663,0.000926816,0.09630352],"study_design_scores_gemma":[0.0001040105,0.0005201249,0.0001879566,0.0002653668,0.00005690295,0.00002860356,0.5558035,0.1309516,0.001916184,0.004716827,0.3047583,0.0006907107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8422831,0.01284701,0.0629805,0.004128016,0.004885758,0.004719748,0.00005639497,0.001988888,0.06611054],"genre_scores_gemma":[0.9800619,0.001088831,0.00002976018,0.00002091617,0.0002655612,0.00001036338,0.00001299601,0.00002008488,0.01848956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7974495,"threshold_uncertainty_score":0.97831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06366241283930864,"score_gpt":0.3169470281526733,"score_spread":0.2532846153133647,"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."}}