{"id":"W2587179542","doi":"","title":"Centre of Population of Saskatchewan, Canada","year":2017,"lang":"en","type":"article","venue":"Thailand Statistician Thailand","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Population; Spatial variability; Demography; Physical geography; Statistics; Mathematics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002800779,0.000100194,0.0002727483,0.00003450953,0.0006569859,0.00003736362,0.0002264271,0.0000445413,0.000143907],"category_scores_gemma":[0.0003041374,0.000089108,0.00003220058,0.00004493681,0.0001951141,0.0001058061,0.00002871856,0.00005270339,0.000001482538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004463432,"about_ca_system_score_gemma":0.0003416849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9812068,"about_ca_topic_score_gemma":0.9990059,"domain_scores_codex":[0.998884,0.00008234518,0.0002726048,0.0001439409,0.0003965648,0.0002205806],"domain_scores_gemma":[0.9989335,0.0001484022,0.0004462501,0.0002541456,0.0001391828,0.00007853033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002685805,0.00002534898,0.8631418,0.00005834032,0.0000463843,0.000007622597,0.1124961,0.000006328678,0.00001265354,0.004595509,0.01707096,0.002512039],"study_design_scores_gemma":[0.000355367,0.00001936253,0.9837388,0.0000490389,0.00004193145,2.05019e-7,0.005869395,0.00003631226,0.00006260946,0.002626696,0.007071786,0.0001284646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854391,0.000178567,0.0003442038,0.0004424172,0.0004513236,0.0001903436,0.000411842,0.0000147999,0.01252741],"genre_scores_gemma":[0.9936706,0.00005745893,0.0003246011,0.00001917605,0.0001473209,0.000001589074,0.00003671755,0.000007230185,0.005735262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.120597,"threshold_uncertainty_score":0.5053071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285626446144779,"score_gpt":0.2718298526262536,"score_spread":0.2589735881648059,"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."}}