{"id":"W4283790178","doi":"10.3390/e24070928","title":"From Random Numbers to Random Objects","year":2022,"lang":"en","type":"article","venue":"Entropy","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Random permutation; Random number generation; Computer science; Random function; Cryptography; Random field; Theoretical computer science; Random compact set; Object (grammar); Random graph; Mathematics; Algorithm; Discrete mathematics; Artificial intelligence; Statistics","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":[0.003071261,0.0007040311,0.000657459,0.00147872,0.0008421166,0.003406552,0.001344798,0.001903797,0.006885665],"category_scores_gemma":[0.02066549,0.0004792744,0.0008620655,0.00119092,0.00741923,0.007538606,0.003097349,0.003509322,0.001323571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146818,"about_ca_system_score_gemma":0.0008412395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006813253,"about_ca_topic_score_gemma":0.0004765981,"domain_scores_codex":[0.9961131,0.002291347,0.0001388666,0.00047493,0.0008491251,0.0001326097],"domain_scores_gemma":[0.9909261,0.007119398,0.0004180699,0.0009773795,0.0004067851,0.0001521731],"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":[0.000007700769,0.000006574453,0.00008710921,0.00004891703,0.000005003971,0.000057404,0.0001192722,0.008094035,0.0001508129,0.9817893,0.001328987,0.008304887],"study_design_scores_gemma":[0.000008884178,0.00001303853,0.00004888936,0.00003589993,0.000003078664,0.0001080072,0.00004446056,0.02910721,0.000296745,0.9612839,0.009039058,0.00001076303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00865641,0.002704544,0.9521316,0.005585732,0.000481488,0.0001179538,0.0001359051,0.0002966657,0.02988973],"genre_scores_gemma":[0.5493636,0.007040284,0.4077828,0.002980609,0.001727238,0.0007788878,0.0003315489,0.0004570266,0.02953805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006885665,"threshold_uncertainty_score":0.02303487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006907217697714202,"score_gpt":0.2332522288866146,"score_spread":0.2263450111889004,"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."}}