{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005677599,0.001205104,0.001644458,0.004058125,0.001239364,0.003767087,0.005011097,0.003435997,0.01105779],"category_scores_gemma":[0.03449674,0.0008934017,0.001902927,0.002814519,0.00262786,0.004862562,0.001383248,0.003958757,0.003807164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00224802,"about_ca_system_score_gemma":0.001280573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008485765,"about_ca_topic_score_gemma":0.002686715,"domain_scores_codex":[0.9972811,0.0007862459,0.0001228852,0.0007733727,0.0006228472,0.0004135661],"domain_scores_gemma":[0.9773527,0.01642676,0.002231747,0.00183491,0.001624703,0.0005291144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002195316,0.0001549045,0.02274339,0.0002527398,0.000141659,0.001088325,0.001138033,0.3408592,0.002889564,0.5751739,0.007175289,0.04816347],"study_design_scores_gemma":[0.000067848,0.0002084368,0.007237921,0.0001570303,0.0000739066,0.001989346,0.0002138332,0.8295632,0.0008952543,0.1514404,0.007994846,0.0001579473],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05297814,0.001164658,0.9328941,0.002082265,0.0001635601,0.0002551876,0.001466082,0.001113992,0.007882084],"genre_scores_gemma":[0.8634112,0.004045273,0.1042835,0.0003843277,0.0006860274,0.001013486,0.003048352,0.0003864915,0.02274129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01105779,"threshold_uncertainty_score":0.03699201,"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."}}