{"id":"W7015107224","doi":"","title":"Solving Canadian Traveller Problem","year":2019,"lang":"sk","type":"dissertation","venue":"Brno University of Technology Digital Library (Brno University of Technology)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Field (mathematics)","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":["metaepi_narrow","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001285807,0.0008810133,0.00143912,0.008168428,0.0007250918,0.0001679727,0.00984612,0.002821434,0.0005414857],"category_scores_gemma":[0.0000418924,0.001274481,0.0005694766,0.004795264,0.002101695,0.005615195,0.003646333,0.001436164,0.0006201417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002516159,"about_ca_system_score_gemma":0.001511203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004798312,"about_ca_topic_score_gemma":0.002983182,"domain_scores_codex":[0.9957489,0.00004167436,0.0005698542,0.001831997,0.0005422205,0.001265378],"domain_scores_gemma":[0.9957521,0.00006130315,0.001291924,0.002240078,0.0003336663,0.0003209501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006129319,0.001603143,0.05322401,0.002198125,0.003306105,0.003554821,0.002207658,0.0001005412,0.0008164205,0.2824621,0.06149008,0.5884241],"study_design_scores_gemma":[0.005652911,0.002114524,0.006681431,0.003241428,0.0009654169,0.0001070623,0.06395978,0.004931333,0.002974346,0.01512012,0.8900502,0.004201408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5246673,0.002918537,0.01872904,0.0348967,0.002363226,0.00619295,0.01271424,0.007184366,0.3903337],"genre_scores_gemma":[0.7489364,0.002194008,0.07039154,0.00008177806,0.00003951922,4.487744e-7,0.004319634,0.000161528,0.1738752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8285602,"threshold_uncertainty_score":0.9989705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004536303439662006,"score_gpt":0.1519327285313811,"score_spread":0.1473964250917191,"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."}}