{"id":"W2108584434","doi":"10.25336/p6z88g","title":"Modeling and Projection of Age and Sex Specific Marriage Rates","year":2000,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Projection (relational algebra); Demography; Geography; Sociology; Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004392103,0.0000657022,0.000129359,0.0002015066,0.0002789751,0.00002478491,0.00003665496,0.00004094865,0.00001703449],"category_scores_gemma":[0.00002623655,0.00007206347,0.00001398473,0.0002572282,0.0001627025,0.0001359609,0.000008897746,0.00004596394,6.355826e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001454169,"about_ca_system_score_gemma":0.00001768773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3508543,"about_ca_topic_score_gemma":0.8117495,"domain_scores_codex":[0.9992864,0.00008410031,0.0001776414,0.000162494,0.0001149399,0.0001743859],"domain_scores_gemma":[0.9998047,0.00001645656,0.00002865349,0.00006987748,0.00002679095,0.0000534992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008601534,0.00001124111,0.8298711,0.00006863665,0.00004077657,0.00001984117,0.02703497,0.001216034,0.000002677643,0.008112683,0.0002453737,0.1333681],"study_design_scores_gemma":[0.0003266004,0.00002443186,0.9541835,0.0000860826,0.00002092876,6.837631e-7,0.02212052,0.004435433,0.000002475122,0.01087158,0.007692526,0.0002353099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892402,0.00171516,0.000005831832,0.00009538547,0.0001463064,0.000310578,0.000004926304,0.00001164856,0.008470019],"genre_scores_gemma":[0.9964648,0.003075116,0.000116507,0.00002803899,0.0000685667,0.00001255821,0.000005486419,0.000004950332,0.0002239931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4608952,"threshold_uncertainty_score":0.6534684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06037514756090169,"score_gpt":0.3384911177321485,"score_spread":0.2781159701712468,"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."}}