{"id":"W4398363260","doi":"10.7910/dvn/ojklx1","title":"Replication Data for: \"Gender-Ideology Trouble? Generation, gender and ideology as determinants of LGB self-identification among Gen Z and Millennials in Spain\"","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Education, Sociology, Communication Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ideology; Replication (statistics); Identification (biology); Psychology; Gender studies; Sociology; Political science; Politics; Medicine; Biology; Law; Virology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005231874,0.00114299,0.001309262,0.002142622,0.001476813,0.002508197,0.003551972,0.002193981,0.06813101],"category_scores_gemma":[0.03505962,0.0007295001,0.001356815,0.004121435,0.0006283236,0.00101294,0.00317826,0.002267815,0.0359536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874651,"about_ca_system_score_gemma":0.005618982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07544797,"about_ca_topic_score_gemma":0.09408532,"domain_scores_codex":[0.9974306,0.000613546,0.0004125827,0.0005238869,0.0006093831,0.0004100129],"domain_scores_gemma":[0.9859712,0.002704347,0.001476939,0.003451698,0.005490658,0.0009052482],"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":[0.0001857228,0.00004038799,0.004436377,0.0005563246,0.00005586165,0.00003309779,0.0001268275,0.00008259069,0.00007779735,0.0005429799,0.9907181,0.003143976],"study_design_scores_gemma":[0.002356056,0.00006280905,0.07481109,0.001254088,0.0001858225,0.0001161253,0.00091306,0.0003510314,0.0003950936,0.001870755,0.9175902,0.00009383651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001139898,0.00009091335,0.0001463838,0.000375953,0.0001209812,0.0001350228,0.9964049,0.0001617784,0.001424302],"genre_scores_gemma":[0.004273342,0.00008009743,0.0007877067,0.0002330869,0.0000398077,0.002333033,0.9883087,0.0001026777,0.003841631],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07544797,"threshold_uncertainty_score":0.2279209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2073557158696739,"score_gpt":0.4293788047176163,"score_spread":0.2220230888479424,"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."}}