{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002895767,0.00016878,0.0002107573,0.0001772786,0.0006687178,0.00005526155,0.000247095,0.0001250303,0.002403289],"category_scores_gemma":[0.0001864485,0.0001913128,0.00007375121,0.0005658892,0.0000450816,0.0002231841,0.000155825,0.0004800041,0.00001822747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005862006,"about_ca_system_score_gemma":0.000134958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002611695,"about_ca_topic_score_gemma":0.00002154465,"domain_scores_codex":[0.9986035,0.0001826894,0.000246607,0.0002330716,0.0004176223,0.0003164667],"domain_scores_gemma":[0.9990881,0.0001969453,0.0002506025,0.0002372679,0.0001017752,0.0001252868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001411616,0.0003221135,0.006557769,0.00007745053,0.0001899322,0.000263375,0.004295415,0.01367098,0.006950779,0.7186342,0.2423805,0.006516263],"study_design_scores_gemma":[0.01173621,0.0006995334,0.2857733,0.0001779197,0.001219398,0.001720081,0.02496144,0.2409033,0.001384864,0.2172743,0.2103312,0.003818433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382165,0.000040471,0.04446195,0.003944363,0.0007791565,0.0006864575,0.001335068,0.0003729006,0.0101631],"genre_scores_gemma":[0.9507695,0.000002225262,0.03830589,0.0002177355,0.0001785071,0.000009826868,0.0003282534,0.00004637698,0.01014164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5013599,"threshold_uncertainty_score":0.9985086,"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."}}