{"id":"W4243489813","doi":"10.4095/301362","title":"Marital Status, 2001: Separated (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Geography; Marital status; Demography; Statistics; Mathematics; Sociology; Archaeology; Population","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":[0.000790361,0.001070662,0.0003974226,0.003797352,0.001253239,0.001157238,0.001608646,0.0007223891,0.01198598],"category_scores_gemma":[0.003085013,0.0005398834,0.0004523413,0.007552436,0.0002359614,0.0009753133,0.001110057,0.001471541,0.008903112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003658178,"about_ca_system_score_gemma":0.006535632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6185268,"about_ca_topic_score_gemma":0.6924101,"domain_scores_codex":[0.9992875,0.00004672145,0.00009493166,0.00007097865,0.0003289019,0.000170937],"domain_scores_gemma":[0.9967258,0.0001156548,0.0004781655,0.00009037823,0.002180807,0.0004091865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002038014,0.0002150387,0.1074524,0.0006756522,0.00005302129,0.0001177596,0.0006592842,0.0005072364,0.00026619,0.0006666219,0.8716046,0.01757849],"study_design_scores_gemma":[0.00009608589,0.00007124071,0.84668,0.0003908687,0.00003689689,0.0001329252,0.001343924,0.0003615025,0.0002670096,0.0001255145,0.1504667,0.00002733852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02020928,0.000656043,0.0001272413,0.0004012468,0.0001937129,0.0003326816,0.9655042,0.0001071253,0.01246842],"genre_scores_gemma":[0.04473597,0.002246109,0.0006733319,0.0004396297,0.0000867109,0.00081726,0.922534,0.00005587313,0.02841104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3814732,"threshold_uncertainty_score":0.7674395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03866246457078669,"score_gpt":0.3618712258028587,"score_spread":0.323208761232072,"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."}}