{"id":"W4405374513","doi":"10.1038/s42256-024-00955-y","title":"Discussions of machine versus living intelligence need more clarity","year":2024,"lang":"en","type":"article","venue":"Nature Machine Intelligence","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"CLARITY; Business; Computer security; Computer science; Biology","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":[0.0236824,0.001945979,0.003704244,0.005083649,0.01053953,0.01925628,0.005726099,0.0192064,0.02229272],"category_scores_gemma":[0.05182829,0.001123659,0.001311704,0.003342176,0.05233462,0.06293336,0.009099799,0.04222672,0.005528764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006226182,"about_ca_system_score_gemma":0.004220918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004135682,"about_ca_topic_score_gemma":0.003490204,"domain_scores_codex":[0.9853622,0.006945362,0.001123413,0.001498489,0.004259009,0.0008114698],"domain_scores_gemma":[0.9564298,0.0314539,0.002301993,0.001564735,0.006626145,0.001623468],"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":[0.00003412966,0.00002342988,0.00005908268,0.0002186911,0.00001135912,0.00004498157,0.002281624,0.00006938899,0.0001678721,0.9682544,0.02138588,0.007449065],"study_design_scores_gemma":[0.00005835235,0.00005089417,0.0004388576,0.0007075812,0.00002386204,0.0001582807,0.006721396,0.0005106987,0.0001742094,0.7958605,0.1952464,0.00004916207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002879183,0.02293741,0.02752358,0.8314192,0.047812,0.0000701394,0.0001421471,0.0001003658,0.06711596],"genre_scores_gemma":[0.2766567,0.02850834,0.02879064,0.4627891,0.1636718,0.001095489,0.0002509714,0.001386879,0.03684996],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0236824,"threshold_uncertainty_score":0.125246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526274586213429,"score_gpt":0.3360349938133295,"score_spread":0.3107722479511952,"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."}}