{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00664804,0.0002872893,0.0006547438,0.0004078287,0.000647908,0.00007416377,0.001472349,0.0006202638,0.0001537606],"category_scores_gemma":[0.007249195,0.0003308061,0.00004598278,0.0003325305,0.001370447,0.0005867344,0.001126877,0.000257925,0.0006049986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441733,"about_ca_system_score_gemma":0.0004664597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009579373,"about_ca_topic_score_gemma":0.03566148,"domain_scores_codex":[0.9954801,0.001535088,0.001071752,0.001219878,0.0002842097,0.0004089668],"domain_scores_gemma":[0.9930328,0.001508364,0.001068466,0.003874176,0.0004045864,0.0001116357],"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":[0.00001386468,0.00008004023,0.02011499,0.0001594087,0.0001207774,0.000001383315,0.004217153,0.00000124543,0.00003370615,0.0009274642,0.9740512,0.0002787801],"study_design_scores_gemma":[0.0004562413,0.0000262217,0.04818008,0.00002199353,0.0002300503,0.000004644643,0.0074252,0.0001234982,0.000009108528,0.00108593,0.9421542,0.0002828295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03227985,0.0001857499,0.00009096076,0.0003795393,0.001041934,0.0020051,0.9638589,0.00009076823,0.00006721698],"genre_scores_gemma":[0.007091174,0.03067121,0.001406797,0.0001927332,0.0004539162,0.0004570244,0.9595278,0.0000317014,0.0001676618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03189699,"threshold_uncertainty_score":0.9999144,"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."}}