{"id":"W4401899761","doi":"10.4203/ccc.7.25.1","title":"Docking trains: A Comparison","year":2024,"lang":"en","type":"article","venue":"Civil-comp conferences","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Train; NonStop; Computer science; Travel time; Simulation; Transport engineering; Engineering; Geography","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004029629,0.000230779,0.000319679,0.0001698158,0.0001490873,0.001126955,0.001286426,0.00008471437,0.0000509446],"category_scores_gemma":[0.00004787224,0.0001976595,0.00009588401,0.0004383371,0.00009674925,0.0005244855,0.0001912401,0.0003225163,0.0002858588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003763242,"about_ca_system_score_gemma":0.0002687967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042661,"about_ca_topic_score_gemma":0.00002276019,"domain_scores_codex":[0.9980378,0.000103298,0.000360882,0.0006355832,0.0004142531,0.0004481997],"domain_scores_gemma":[0.9989408,0.0003236247,0.00006641753,0.0004715979,0.00006248453,0.0001350652],"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":[0.000003686186,0.0001334995,0.003162476,0.0001944156,0.000166411,0.000452065,0.01393057,0.003532107,0.0003543065,0.5569697,0.01904576,0.402055],"study_design_scores_gemma":[0.0001270928,0.00008711781,0.002386549,0.0003145219,0.00001270509,0.00005577207,0.0001760418,0.9412081,0.0003027599,0.006741866,0.0482476,0.0003398488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003326117,0.004121144,0.9290417,0.001246322,0.002698773,0.0001658413,0.000005922729,0.001401407,0.05799271],"genre_scores_gemma":[0.9622559,0.00003082244,0.03704183,0.0001315032,0.0002072228,0.00001988444,0.000005784304,0.00001166643,0.0002954117],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9589298,"threshold_uncertainty_score":0.99991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0516102404288199,"score_gpt":0.3112455434884537,"score_spread":0.2596353030596338,"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."}}