{"id":"W4386829003","doi":"10.52209/1609-1825_2023_2_174","title":"10.52209/1609-1825_2023_2_174","year":2023,"lang":"en","type":"article","venue":"Trudy Universiteta","topic":"Transportation Systems and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Nurses in Oncology","funders":"","keywords":"Minification; Set (abstract data type); Process (computing); Computer science; Row; Matrix (chemical analysis); Mathematical model; Data set; Basis (linear algebra); Mathematical optimization; Mathematics; Artificial intelligence; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007145774,0.001261728,0.0007808164,0.0021624,0.0006903374,0.003176756,0.001737298,0.003082757,0.9086162],"category_scores_gemma":[0.001239652,0.0007452161,0.001003364,0.002372877,0.0008491271,0.002649998,0.002159431,0.001154993,0.9096938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090715,"about_ca_system_score_gemma":0.0007420226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00250705,"about_ca_topic_score_gemma":0.00198052,"domain_scores_codex":[0.9995131,0.00006144633,0.00004136756,0.0001357283,0.0001926068,0.00005582744],"domain_scores_gemma":[0.9992884,0.0002385112,0.00005520246,0.0001649175,0.0001684255,0.0000845599],"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":[0.0002642856,0.000187901,0.001151982,0.0004878976,0.00003172911,0.0002808358,0.00005912421,0.006285624,0.004571249,0.0277883,0.356021,0.6028701],"study_design_scores_gemma":[0.00005256165,0.00007657587,0.0007162148,0.0002475803,0.00001372262,0.0002661512,0.00005159356,0.009305836,0.001732067,0.007434724,0.9800632,0.00003970325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001712679,0.0007204177,0.02550016,0.001183513,0.0006616462,0.0001633817,0.005674557,0.005505291,0.9588785],"genre_scores_gemma":[0.009881849,0.0004856419,0.00591316,0.000357768,0.0001422762,0.0001528823,0.002311063,0.001068841,0.9796865],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09138376,"threshold_uncertainty_score":0.1303478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532372413388493,"score_gpt":0.1772590444591552,"score_spread":0.1619353203252703,"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."}}