{"id":"W1834697838","doi":"10.25336/p6mw42","title":"A Probability distribution for first birth interval","year":2006,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interval (graph theory); Statistics; Probability distribution; Demography; Birth rate; Set (abstract data type); Econometrics; Mathematics; Population; Computer science; Fertility; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000790059,0.00009294848,0.0001532824,0.0001273406,0.0006320833,0.00003529005,0.0001086816,0.00006115276,0.00000930053],"category_scores_gemma":[0.0003355709,0.0001020406,0.00006714585,0.0004057034,0.0002112816,0.0001527993,0.00001724608,0.00005227506,0.000003341839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540937,"about_ca_system_score_gemma":0.00006294106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5866901,"about_ca_topic_score_gemma":0.9934085,"domain_scores_codex":[0.9988695,0.00008228594,0.0002734902,0.0002321918,0.0001677259,0.0003747988],"domain_scores_gemma":[0.9995346,0.00005901475,0.00007610938,0.0001336195,0.0001294966,0.000067125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000651015,0.00002021085,0.8777356,0.00005851765,0.00001454567,0.000001688706,0.001226323,0.0001914065,5.881168e-8,0.1135444,0.004839901,0.0023609],"study_design_scores_gemma":[0.000173498,0.0000132803,0.8747664,0.00002779075,0.00001054399,6.968907e-8,0.001170152,0.0001123716,4.038408e-7,0.04811191,0.07549649,0.0001170978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909402,0.0004098041,0.0002638818,0.001700763,0.001014961,0.001364236,0.0001804937,0.00005586315,0.004069757],"genre_scores_gemma":[0.9989845,0.0000412482,0.0001587849,0.00005496914,0.0002344872,0.0001900356,0.0001618437,0.000006485586,0.0001676375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4067184,"threshold_uncertainty_score":0.4861538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06435455753983804,"score_gpt":0.3358254342038599,"score_spread":0.2714708766640219,"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."}}