{"id":"W4416684075","doi":"10.1007/978-981-95-4972-6","title":"AI 2025: Advances in Artificial Intelligence","year":2025,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Beijing Institute of Technology; University of South Australia; Victoria University; RMIT University; Monash University; Griffith University; Deakin University; University of Western Sydney; Harbin Institute of Technology; University of New South Wales; University of Technology Sydney; Victoria University of Wellington; Macquarie University; Singapore Management University; Zhejiang Normal University; York University; La Trobe University; University of Minnesota; Commonwealth Scientific and Industrial Research Organisation; Auckland University of Technology, New Zealand; University of Otago","keywords":"","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.001094228,0.0005123304,0.0005955709,0.001445903,0.0001587961,0.0008780781,0.006087095,0.0003278301,0.00002083078],"category_scores_gemma":[0.0002008555,0.0004784238,0.0001415712,0.002000454,0.0005505726,0.00142214,0.002163247,0.00140712,0.00006247309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006038277,"about_ca_system_score_gemma":0.0016982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004178289,"about_ca_topic_score_gemma":0.0003619809,"domain_scores_codex":[0.9956198,0.00006530341,0.0007650113,0.001767656,0.0009086729,0.0008735823],"domain_scores_gemma":[0.9977505,0.0005084113,0.000235598,0.001175313,0.0002159282,0.00011425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005541142,0.00004739674,0.00001816627,0.00006384565,0.00000283926,0.00009933181,0.0005727091,0.03907108,0.00001532702,0.06053781,0.000251129,0.8993148],"study_design_scores_gemma":[0.00004393913,0.00009254312,0.00001305454,0.000867029,0.000002207539,0.00001226696,2.469723e-7,0.4752608,0.00179615,0.512535,0.008926375,0.0004504686],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001063755,0.001763625,0.9829454,0.003299045,0.004486081,0.000311599,0.000002912487,0.0001182489,0.007062384],"genre_scores_gemma":[0.08369339,0.0007935735,0.8742051,0.02951163,0.002384392,0.00007387679,0.00001650734,0.00007226312,0.009249336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8988644,"threshold_uncertainty_score":0.9997668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322766365357641,"score_gpt":0.2817178799337817,"score_spread":0.2684902162802053,"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."}}