{"id":"W4414199417","doi":"10.1364/jocn.566810","title":"From artificial intelligence to active inference: the key to true AI and the 6G world brain [Invited]","year":2025,"lang":"en","type":"article","venue":"Journal of Optical Communications and Networking","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Key (lock); Context (archaeology); Inference; Artificial general intelligence; Cognition; Applications of artificial intelligence; Ideal (ethics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00309307,0.0009438966,0.0007041187,0.0007199603,0.001546675,0.005495911,0.0009291105,0.003949942,0.006607476],"category_scores_gemma":[0.007234459,0.0004557201,0.0004272928,0.0006239458,0.005705804,0.007240938,0.001608541,0.009008322,0.003270476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503335,"about_ca_system_score_gemma":0.00107324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800045,"about_ca_topic_score_gemma":0.001806371,"domain_scores_codex":[0.9989661,0.000390254,0.0000297372,0.0001963183,0.000300858,0.0001167175],"domain_scores_gemma":[0.9965029,0.002393421,0.00007224182,0.0001149997,0.0006169099,0.0002996205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009962862,0.00002741944,0.0002028984,0.0002765011,0.00005038783,0.0001658068,0.0007445639,0.001408825,0.0008639107,0.2982905,0.5619369,0.1359327],"study_design_scores_gemma":[0.00001605639,0.00002819189,0.000178983,0.0002402226,0.00001611825,0.000150939,0.0003023368,0.002791019,0.0005628282,0.2617253,0.7339348,0.00005299568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002889859,0.1533442,0.1180859,0.5708677,0.09129098,0.00007371185,0.0002779883,0.0009068698,0.06226275],"genre_scores_gemma":[0.1918234,0.165188,0.06605071,0.1498259,0.2341859,0.0003323866,0.0005317366,0.001005338,0.1910567],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.006607476,"threshold_uncertainty_score":0.0221042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05026412066577364,"score_gpt":0.3490775317280249,"score_spread":0.2988134110622513,"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."}}