{"id":"W4402337677","doi":"10.1558/bar.26771","title":"Timeless tenet, temporal tenant","year":2024,"lang":"en","type":"article","venue":"Body and Religion","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Timeless; Computer science; Psychology; Neuroscience; Circadian rhythm","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":[0.0001436076,0.00009595763,0.00008571211,0.0001197421,0.0001609904,0.0001023607,0.0001034088,0.00007039694,0.00003023773],"category_scores_gemma":[0.0001410816,0.0000600034,0.0000273097,0.0003468703,0.0002542689,0.0001040702,0.00007013862,0.0002465595,0.0001586477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001463145,"about_ca_system_score_gemma":0.00004178692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001814183,"about_ca_topic_score_gemma":0.000002903756,"domain_scores_codex":[0.9990131,0.00003707263,0.0001878429,0.0003612201,0.0002152893,0.0001854793],"domain_scores_gemma":[0.9996213,0.0001235295,0.00002921937,0.000142638,0.00001828295,0.00006506979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001557205,0.00006673457,0.00007573158,0.0001120056,0.000005084176,0.0001863755,0.0001576652,8.30108e-7,0.8235162,0.1310055,0.03904255,0.005815824],"study_design_scores_gemma":[0.0002919115,0.0002901558,0.0004548537,0.0002682899,0.00001982774,0.0001054479,0.00001903307,0.002854246,0.3847044,0.04938368,0.5612952,0.0003129868],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9026654,0.001748247,0.005908322,0.0433938,0.005318501,0.000983112,0.00006638309,0.001545546,0.03837067],"genre_scores_gemma":[0.9909406,0.0007846442,0.00006881945,0.001770027,0.0001816811,0.00001243931,0.000005045889,0.00001493,0.006221867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5222527,"threshold_uncertainty_score":0.2446868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03220322030073804,"score_gpt":0.3085869744144961,"score_spread":0.2763837541137581,"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."}}