{"id":"W4212948010","doi":"10.32920/19178435.v1","title":"Moving Randomly in Three Dimensions","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Focus (optics); Probabilistic logic; Mathematics; Work (physics); Differential (mechanical device); Statistics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008626065,0.0005120316,0.0008414272,0.001450703,0.000993256,0.002000747,0.001085449,0.001555255,0.01033606],"category_scores_gemma":[0.004991097,0.0004738882,0.001008472,0.001381761,0.001465693,0.002259778,0.001329425,0.001496296,0.001721786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245701,"about_ca_system_score_gemma":0.0007680689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01415303,"about_ca_topic_score_gemma":0.008250049,"domain_scores_codex":[0.999493,0.0001355259,0.00002264448,0.0001564418,0.0001080175,0.00008432529],"domain_scores_gemma":[0.9980686,0.000929746,0.0002846472,0.0001943622,0.000320045,0.0002026436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001176019,0.0000545374,0.003813677,0.0001600486,0.00009937263,0.0003352949,0.0002798784,0.1768052,0.001331941,0.7858325,0.0134828,0.01768724],"study_design_scores_gemma":[0.0001053491,0.00006566952,0.006936947,0.00009360707,0.00005131036,0.0003430601,0.0002961613,0.631916,0.000653735,0.3423021,0.01707232,0.0001637119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.260078,0.00586434,0.628969,0.008838649,0.001667877,0.0002317594,0.003679286,0.001235166,0.08943606],"genre_scores_gemma":[0.8756433,0.002895683,0.06017219,0.001180496,0.0004764402,0.0003629909,0.002452546,0.0002399197,0.05657657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01415303,"threshold_uncertainty_score":0.03457761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04319929045558404,"score_gpt":0.2265867434622271,"score_spread":0.183387453006643,"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."}}