{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01483452,0.0008856913,0.001084813,0.001753003,0.001943204,0.009890379,0.002403075,0.007123914,0.004697985],"category_scores_gemma":[0.01628602,0.0005079173,0.0009611759,0.001186208,0.01565453,0.02272129,0.006593509,0.007555378,0.00159041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002816933,"about_ca_system_score_gemma":0.004120283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051669,"about_ca_topic_score_gemma":0.001092808,"domain_scores_codex":[0.9938817,0.003217931,0.0001970693,0.000650481,0.001685327,0.0003674878],"domain_scores_gemma":[0.9840506,0.0113266,0.000610491,0.00200402,0.001106349,0.0009020234],"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":[0.00003078207,0.0000502569,0.000334874,0.0001983809,0.00002612346,0.00005817683,0.0005236774,0.005359179,0.0003521624,0.9369869,0.005492566,0.05058685],"study_design_scores_gemma":[0.000006710864,0.00002329377,0.00009285626,0.0001460237,0.000005155865,0.0000304337,0.0002925799,0.007947702,0.0001796543,0.9650987,0.02616129,0.00001559463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01835668,0.1035234,0.4974083,0.2900885,0.001788534,0.0001220306,0.0001716978,0.0005604401,0.08798033],"genre_scores_gemma":[0.636777,0.07014652,0.2557926,0.01319966,0.006053068,0.0003343513,0.0002069445,0.0002821092,0.0172078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01483452,"threshold_uncertainty_score":0.07845342,"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."}}