{"id":"W2347421248","doi":"","title":"Analysis and Forecasting on the Quantity of Birth in Canada","year":2001,"lang":"en","type":"article","venue":"Journal of Wenzhou Teachers College","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Factor (programming language); Term (time); Econometrics; Computer science; Economics; Geography; Geodesy; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004963573,0.0003547502,0.0003205524,0.002175769,0.0008372687,0.0008467412,0.0005993128,0.0002254995,0.00107753],"category_scores_gemma":[0.00234304,0.0001589504,0.0004003032,0.002938933,0.0003593615,0.0003764216,0.0004259323,0.000642967,0.0001095224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02146418,"about_ca_system_score_gemma":0.0169575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889362,"about_ca_topic_score_gemma":0.9863037,"domain_scores_codex":[0.9996939,0.00001896755,0.00001022158,0.00004066628,0.000163874,0.00007236183],"domain_scores_gemma":[0.9991236,0.0001025242,0.00007801994,0.00001922799,0.0005838491,0.00009281184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003985384,0.00005659525,0.5117654,0.000220888,0.0002042788,0.0006107836,0.001073451,0.3566599,0.002321119,0.01961683,0.0140289,0.09304333],"study_design_scores_gemma":[0.00002024596,0.00004084799,0.4400247,0.00006511145,0.00007927392,0.00004442015,0.001619465,0.5381857,0.002077207,0.002884968,0.01489364,0.0000644902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747772,0.001087943,0.006420865,0.001481902,0.00006675017,0.00004042946,0.008556672,0.000151435,0.00741689],"genre_scores_gemma":[0.9893387,0.0007128191,0.001955696,0.00002756082,0.000009900694,0.000007684996,0.003910222,0.00001210515,0.004025404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02146418,"threshold_uncertainty_score":0.1557342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115137163487794,"score_gpt":0.3255325559578646,"score_spread":0.2140188396090851,"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."}}