{"id":"W2293698321","doi":"10.1609/socs.v1i1.18154","title":"High-Quality Policies for the Canadian Traveler's Problem","year":2010,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Quality (philosophy); Path (computing); Adverse weather; Property (philosophy); Operations research; Distribution (mathematics); Mathematical optimization; Mathematics; Geography","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":[0.00330136,0.001263924,0.001341227,0.001323402,0.001916807,0.001804237,0.002015209,0.00182985,0.003444965],"category_scores_gemma":[0.01247774,0.0006540864,0.0006200623,0.001918696,0.001786789,0.001584635,0.001374242,0.001933568,0.0001784766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0120091,"about_ca_system_score_gemma":0.01584999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3597082,"about_ca_topic_score_gemma":0.3011383,"domain_scores_codex":[0.9979743,0.000530123,0.00007506827,0.0002379001,0.0007523871,0.0004302664],"domain_scores_gemma":[0.9933129,0.004387912,0.0005320578,0.0003549964,0.0007703585,0.0006418137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001185401,0.00004783468,0.0005144452,0.00005501067,0.00001715435,0.00002987104,0.00005318126,0.9721401,0.000242068,0.01572114,0.001531201,0.009529398],"study_design_scores_gemma":[0.00006420181,0.00003698124,0.0004570249,0.00001015844,0.000009082864,0.00001777954,0.00003839523,0.9864216,0.0002878239,0.01165931,0.0009836633,0.00001409482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3529237,0.00187098,0.6115571,0.003627108,0.0001553036,0.0006732903,0.001502397,0.001595638,0.02609445],"genre_scores_gemma":[0.9097731,0.0007878607,0.08539072,0.0002361581,0.00003335781,0.0001433085,0.0007128217,0.00009148853,0.002831158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6402918,"threshold_uncertainty_score":0.7152289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243110548845658,"score_gpt":0.3153885064059963,"score_spread":0.2910774515214305,"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."}}