{"id":"W2950920865","doi":"10.1162/artl_a_00303","title":"Measuring Time with Minimal Clocks","year":2019,"lang":"en","type":"preprint","venue":"Artificial Life","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Measure (data warehouse); Molecular clock; Biological clock; Computer science; Scale (ratio); Circadian clock; Real-time computing; Dynamics (music); Vector clock; Atomic clock; Clock synchronization; Biological system; Statistical physics; Physics; Biology; Synchronization (alternating current); Neuroscience; Circadian rhythm; Acoustics; Quantum mechanics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002287093,0.0003055212,0.0003648613,0.00006531408,0.00007232068,0.00006228458,0.0003273814,0.000402327,0.00009934216],"category_scores_gemma":[0.00004828641,0.0002861083,0.0002253051,0.00008280516,0.00007191435,0.000001474741,0.0005079616,0.0002311047,0.0002801155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002076418,"about_ca_system_score_gemma":0.0003635028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001796314,"about_ca_topic_score_gemma":0.00004806382,"domain_scores_codex":[0.9982675,0.00008224414,0.0003133361,0.0007224424,0.0002814781,0.0003329956],"domain_scores_gemma":[0.9986061,0.000008671903,0.0001971411,0.0009012303,0.0001320197,0.0001547928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001156526,0.0003546212,0.03029071,0.0002294345,0.003156289,0.00003302492,0.0001865706,0.2814195,0.6451804,0.0001366259,0.03202084,0.005835415],"study_design_scores_gemma":[0.001402788,0.001419584,0.01554531,0.000439351,0.002066007,0.00004118135,0.0002340177,0.02909665,0.7987114,0.0009712017,0.1450213,0.005051296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946998,0.0006890062,0.0009159142,0.0001803451,0.0002509481,0.0002615306,0.00002232275,0.00002991551,0.002950228],"genre_scores_gemma":[0.9958739,0.00002117968,0.0004464153,0.0001819311,0.001476929,0.00002407836,0.0003108002,0.00005944102,0.001605338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2523229,"threshold_uncertainty_score":0.9999591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193036967521408,"score_gpt":0.2223115306216134,"score_spread":0.2003811609463993,"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."}}