{"id":"W4247451250","doi":"10.4095/301514","title":"Sex Composition (male) by Marital Status, 2006 - Married (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Composition (language); Demography; Marital status; Geography; Sociology; Population; Art; Archaeology","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":[0.0002450062,0.0002854499,0.0002244986,0.002024702,0.000654975,0.0005215172,0.0006176873,0.0001492226,0.009114442],"category_scores_gemma":[0.001166815,0.0001901533,0.0003422828,0.002894458,0.0001272967,0.0003307939,0.0004194819,0.0002863172,0.003707275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253571,"about_ca_system_score_gemma":0.001746403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5723219,"about_ca_topic_score_gemma":0.7027915,"domain_scores_codex":[0.9996302,0.00002254763,0.00003982432,0.00004774089,0.0001769635,0.00008267521],"domain_scores_gemma":[0.9993149,0.0000225693,0.0001488239,0.00002603919,0.0003794576,0.0001082547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001377642,0.00009495312,0.8888586,0.0002044907,0.000111389,0.000168988,0.001166026,0.0003175873,0.0008243167,0.0004259625,0.07201479,0.03567515],"study_design_scores_gemma":[0.000006452432,0.0000245464,0.9837908,0.00003153796,0.00001146785,0.0001107169,0.000736633,0.00011361,0.00009464704,0.00002720446,0.01504715,0.000005333279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5251276,0.002543745,0.0005394924,0.0003298593,0.0001358844,0.0004171789,0.419954,0.0002010195,0.05075118],"genre_scores_gemma":[0.7290141,0.005718365,0.001201428,0.000374061,0.00007168545,0.0003286777,0.2042444,0.00008477639,0.05896239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5723219,"threshold_uncertainty_score":0.8603936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356477633347708,"score_gpt":0.3240523624007052,"score_spread":0.2904875860672281,"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."}}