{"id":"W6973967633","doi":"10.58079/ovkh","title":"Using \"home made\" statistics","year":2022,"lang":"en","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Term (time); Measure (data warehouse); Statistician; Sampling (signal processing)","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":[0.01131268,0.001489018,0.002287843,0.009313888,0.001228699,0.003445631,0.002458666,0.001399232,0.1361065],"category_scores_gemma":[0.1352148,0.0008148332,0.002745098,0.01234371,0.001338785,0.004451831,0.002887792,0.004341232,0.03872087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033672,"about_ca_system_score_gemma":0.002997248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004885104,"about_ca_topic_score_gemma":0.004423474,"domain_scores_codex":[0.9828513,0.009229505,0.001545696,0.002421753,0.003009287,0.0009425397],"domain_scores_gemma":[0.9332432,0.045038,0.002672238,0.01301129,0.005266009,0.0007693875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006440189,0.0002991242,0.007538924,0.001798816,0.0008759549,0.0004572961,0.00110052,0.003937279,0.0007532158,0.04753312,0.7185459,0.2165159],"study_design_scores_gemma":[0.0002919114,0.0004824699,0.01152262,0.001081314,0.0002713955,0.0006038419,0.001292292,0.01844118,0.003314293,0.09367501,0.8688366,0.0001870845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01736845,0.001028917,0.5538127,0.003934534,0.005877742,0.001477343,0.2717361,0.07337905,0.07138516],"genre_scores_gemma":[0.1665031,0.001357673,0.6479084,0.001576604,0.001625783,0.008059936,0.1229426,0.0200221,0.03000377],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1361065,"threshold_uncertainty_score":0.4553216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071902919850944,"score_gpt":0.3175075854032149,"score_spread":0.2103172934181205,"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."}}