{"id":"W4393089530","doi":"10.5267/j.dsl.2024.1.001","title":"Grey comprehensive evaluation of development performance of provinces in China based on spatiotemporal probability function and variable weight strategy","year":2024,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Variable (mathematics); Function (biology); Statistics; Regional science; Computer science; Mathematics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01754738,0.0001486272,0.0002817403,0.00105932,0.0001642748,0.0001995442,0.0006233493,0.00005153137,0.00008760613],"category_scores_gemma":[0.00118734,0.0001052202,0.00003648691,0.00342538,0.0005845465,0.000912298,0.00009536016,0.0001245947,0.00002633476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002184391,"about_ca_system_score_gemma":0.0009609181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003334791,"about_ca_topic_score_gemma":0.0000214657,"domain_scores_codex":[0.9936963,0.0003404841,0.001076759,0.0008271901,0.003845442,0.0002138636],"domain_scores_gemma":[0.9969229,0.001271734,0.0003347098,0.0006431196,0.0007543405,0.00007323778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004460154,0.0002954766,0.1691977,0.0001749278,0.00001154946,0.000001490893,0.001524565,0.1864772,0.08535659,0.01019775,0.0003471652,0.5459696],"study_design_scores_gemma":[0.0003043398,0.0001230899,0.6127577,0.0002177386,0.000007765132,0.000001488287,0.00009725727,0.3648634,0.005490837,0.01581825,0.0002119247,0.0001062278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730811,0.00004538329,0.02490997,0.0003762231,0.0002804318,0.0008575115,0.000006970175,0.00001740682,0.0004250377],"genre_scores_gemma":[0.9931458,7.309044e-7,0.006681914,0.00008004683,0.00001171808,0.00006441592,0.000002700868,0.000005394946,0.00000729239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5458634,"threshold_uncertainty_score":0.6081608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08165912520417365,"score_gpt":0.3521404102208284,"score_spread":0.2704812850166547,"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."}}