{"id":"W4399091579","doi":"10.1332/policypress/9781447365624.002.0007","title":"Preface","year":2023,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0005152539,0.0006423249,0.0005573074,0.002059425,0.001805035,0.00380114,0.001058595,0.001054781,0.6192853],"category_scores_gemma":[0.003210278,0.0003411509,0.0004171563,0.002443204,0.0005579061,0.003138272,0.001910092,0.002038521,0.4134809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761373,"about_ca_system_score_gemma":0.00139253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004079992,"about_ca_topic_score_gemma":0.00575455,"domain_scores_codex":[0.9995462,0.00006038353,0.0000279536,0.00007884515,0.0002462761,0.00004019128],"domain_scores_gemma":[0.9984539,0.0002765662,0.00005755232,0.0001675631,0.0008762531,0.0001681305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001231863,0.00001175847,0.0000476837,0.00009687934,9.32644e-7,0.00003062699,0.00008061883,0.00003129441,0.00009312176,0.006264516,0.9597741,0.03355601],"study_design_scores_gemma":[0.000001291323,0.000003311087,0.0001240414,0.00006495811,4.600069e-7,0.00002677188,0.0000493529,0.000009603606,0.00002993508,0.001050057,0.9986387,0.000001501645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0004604518,0.003214925,0.001496886,0.006750041,0.01596729,0.0001613064,0.006615508,0.0006985606,0.964635],"genre_scores_gemma":[0.001744826,0.001552225,0.0006681176,0.001337895,0.002332819,0.00007721158,0.004529487,0.0004611523,0.9872962],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.6192853,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2350917285163795,"score_gpt":0.306027613854409,"score_spread":0.07093588533802955,"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."}}