{"id":"W626227265","doi":"","title":"AN EVENTUAL EVOLUTION","year":2000,"lang":"en","type":"article","venue":"Progressive railroading","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Premise; Plan (archaeology); Business; Automation; Service (business); Business plan; Track (disk drive); Tracing; Engineering; Process management; Transport engineering; Marketing; Operations management; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000632101,0.0001316951,0.000113523,0.00005286473,0.00007611049,0.00003361125,0.0001272612,0.00007092398,0.001238634],"category_scores_gemma":[0.000004219357,0.0001310809,0.00004114761,0.0001344408,0.00005173665,0.0002091633,0.000002342223,0.000130965,0.0001941212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006751506,"about_ca_system_score_gemma":0.000008474866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002879656,"about_ca_topic_score_gemma":0.000002332225,"domain_scores_codex":[0.9992791,0.00001360674,0.0001522727,0.0001513687,0.0001225121,0.000281092],"domain_scores_gemma":[0.9996817,0.00001087984,0.00001318431,0.0001601809,0.00002396782,0.0001101426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001104483,0.0004408311,0.06247771,0.000271575,0.0003148542,0.0004956798,0.003599317,0.0763583,0.01312525,0.0282878,0.00572341,0.8087948],"study_design_scores_gemma":[0.002694501,0.000602799,0.08788368,0.0003701165,0.0002441603,0.000196545,0.0003524995,0.7973197,0.01032982,0.01115624,0.08625431,0.002595619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195834,0.004335538,0.0231107,0.00002420093,0.0004968747,0.000319567,0.00002840344,0.001744865,0.05035646],"genre_scores_gemma":[0.9978552,0.00003766478,0.001632475,0.00001392531,0.0001743523,0.00002083281,0.00003153715,0.00003233732,0.0002016618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8061992,"threshold_uncertainty_score":0.9996744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008366011800830304,"score_gpt":0.2071549861376857,"score_spread":0.1987889743368554,"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."}}