{"id":"W4386241624","doi":"10.22541/au.169333773.35717529/v1","title":"Two Nearest Means: A New Case Based Reasoning Method","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Outcome (game theory); Matching (statistics); Logistic regression; Statistics; Observational study; Set (abstract data type); Artificial intelligence; Computer science; Mathematics; Data mining","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005456678,0.0002998113,0.0004815228,0.0004261608,0.0002571442,0.0008433157,0.001479,0.0002473053,0.001095115],"category_scores_gemma":[0.005088699,0.0002270574,0.0003332593,0.001090637,0.00005803142,0.00007041964,0.001560646,0.0006632934,0.000815584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006661779,"about_ca_system_score_gemma":0.0006920911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01519112,"about_ca_topic_score_gemma":0.002889006,"domain_scores_codex":[0.9962223,0.0002684982,0.0008635178,0.001263483,0.00104005,0.0003421239],"domain_scores_gemma":[0.9936503,0.002976214,0.0004390801,0.002292815,0.0003543281,0.000287279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001871274,0.00006858863,0.0004785651,0.00002470596,0.00003983136,0.001039736,0.0003706528,0.0393257,0.00005834969,0.07632266,0.686142,0.1961106],"study_design_scores_gemma":[0.000200632,0.0000268191,0.0000663819,0.0001587266,0.00003983119,0.0002897027,0.0002674342,0.6174294,0.000452325,0.3050418,0.0755988,0.000428178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007136054,0.000031352,0.9709005,0.004538727,0.0003041726,0.0005607843,0.00007633922,0.001302281,0.02157219],"genre_scores_gemma":[0.01750162,0.000003895196,0.9598652,0.0004118758,0.0002626466,0.0001647435,0.0000308112,0.0000530894,0.02170617],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6105431,"threshold_uncertainty_score":0.9999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4091487756131404,"score_gpt":0.5234968584966077,"score_spread":0.1143480828834673,"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."}}