{"id":"W4234113909","doi":"10.1017/9781108781718","title":"Algorithmic Randomness","year":2020,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"","keywords":"Computer science; Randomness; Information retrieval; World Wide Web; Mathematics; 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":[0.0008227305,0.001274375,0.001237074,0.001980905,0.001200705,0.004603885,0.000939353,0.00124189,0.1431817],"category_scores_gemma":[0.003640867,0.0004704381,0.0008209755,0.002293494,0.002723423,0.005553192,0.002373029,0.003621978,0.0447462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00317404,"about_ca_system_score_gemma":0.001225025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009739941,"about_ca_topic_score_gemma":0.001438524,"domain_scores_codex":[0.9991352,0.0001862892,0.00002903506,0.0002095033,0.0003710518,0.00006891221],"domain_scores_gemma":[0.9989975,0.0004485533,0.00003188782,0.0002125377,0.0002089716,0.0001005169],"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":[0.00001789912,0.000016588,0.00008919435,0.0002303568,0.00001329431,0.0000231734,0.0001133693,0.00091351,0.0003221728,0.5735615,0.3400438,0.0846552],"study_design_scores_gemma":[0.000008947396,0.0000110175,0.0001907585,0.0001662498,0.000007254119,0.00005334815,0.00004137984,0.0008798803,0.0001669336,0.2855934,0.7128717,0.000009177248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001172407,0.03043923,0.01892898,0.01015677,0.005529413,0.00003925804,0.0003838531,0.000449075,0.932901],"genre_scores_gemma":[0.02706814,0.01685644,0.00533597,0.00243549,0.007927397,0.0001185665,0.000608157,0.0006088301,0.939041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1431817,"threshold_uncertainty_score":0.4789905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920021400630457,"score_gpt":0.1914993939567687,"score_spread":0.1722991799504642,"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."}}