{"id":"W2988733330","doi":"10.1007/978-3-030-26676-9_7","title":"New Methods for Solving Fully Fuzzy Solid Transportation Problems with LR Fuzzy Parameters","year":2019,"lang":"en","type":"book-chapter","venue":"Studies in fuzziness and soft computing","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Fuzzy transportation; Fuzzy logic; Mathematical optimization; Computer science; Mathematics; Fuzzy set operations; Fuzzy set; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003867175,0.0004471658,0.0008665549,0.0001584791,0.0001281539,0.000069699,0.0001142485,0.0001866143,0.000003488877],"category_scores_gemma":[0.00005864292,0.0003894093,0.0000995727,0.00007693336,0.00008609903,0.0000975361,0.00003715059,0.0002934473,0.000001905148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000617663,"about_ca_system_score_gemma":0.00003204991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004460115,"about_ca_topic_score_gemma":0.00003153823,"domain_scores_codex":[0.9984739,0.00001037628,0.0006035322,0.0003970254,0.0001389575,0.0003762215],"domain_scores_gemma":[0.9988459,0.0006059738,0.000163756,0.0001696313,0.000136133,0.00007854929],"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":[0.00004187179,0.00001926588,0.00006918961,0.009938567,0.0008621618,0.000009138358,0.008273908,0.392446,0.00002657372,0.05444915,0.0003770522,0.5334871],"study_design_scores_gemma":[0.00713771,0.0009113812,0.0001160166,0.02178701,0.001379534,0.00003872162,0.004614373,0.729106,0.00009912233,0.1987424,0.03058789,0.005479877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001968864,0.006135548,0.9708898,0.00004773877,0.0007074677,0.001268469,0.000007764257,0.0003199445,0.02042636],"genre_scores_gemma":[0.01883247,0.001289451,0.9715344,0.00006762928,0.0002456534,0.00005461471,0.00006560963,0.0002569511,0.007653171],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5280073,"threshold_uncertainty_score":0.9998558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04444471830262737,"score_gpt":0.3205293188917555,"score_spread":0.2760846005891281,"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."}}