{"id":"W2946010038","doi":"","title":"Policy implications of cultural shifts and enduring low fertility in Iran","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"","keywords":"Fertility; Psychology; Sociology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001175739,0.0001498611,0.0004406635,0.0006149646,0.0002277957,0.0004950366,0.001424623,0.00009459382,0.001708466],"category_scores_gemma":[0.0001979531,0.0001284491,0.0001039353,0.001361725,0.0002887528,0.001679511,0.0003708184,0.0002171782,0.000003242282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004734036,"about_ca_system_score_gemma":0.0001554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0164979,"about_ca_topic_score_gemma":0.006948326,"domain_scores_codex":[0.998123,0.0002921751,0.0005430083,0.0003137852,0.0004025659,0.0003254329],"domain_scores_gemma":[0.9988193,0.000193472,0.0004006441,0.0002724812,0.0001256809,0.0001884398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003030243,0.00009739279,0.9671044,0.00004108313,0.00003354791,6.359632e-7,0.004520067,0.000009314438,0.006142138,0.001646427,0.0002845641,0.02009014],"study_design_scores_gemma":[0.000236279,0.000004131384,0.9711567,0.0001239237,0.00001090559,4.545039e-7,0.001394847,0.000003344946,0.0006930704,0.02566324,0.0005684709,0.000144705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688038,0.002746849,0.000006135354,0.000710943,0.0001434077,0.0002884433,0.0000289732,0.0000154613,0.02725605],"genre_scores_gemma":[0.9953175,0.004275677,0.00004446286,0.00006888851,0.00005885464,0.00001404868,0.000003036329,0.000008654434,0.0002089266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02704712,"threshold_uncertainty_score":0.9992041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3037951026188612,"score_gpt":0.5719542563047524,"score_spread":0.2681591536858912,"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."}}