{"id":"W4402458003","doi":"10.1111/josi.12636","title":"The opportunities and limits of open science for LGBTIQ+ research","year":2024,"lang":"en","type":"article","venue":"Journal of Social Issues","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sociology; Psychology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.005232293,0.00004661995,0.0001544545,0.0002037448,0.0007642675,0.0004837167,0.0007021999,0.00005084715,0.00005499529],"category_scores_gemma":[0.0003018097,0.00003104991,0.00005000827,0.0002493592,0.0009415636,0.0003274682,0.0001227429,0.000225433,0.000006907508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004122829,"about_ca_system_score_gemma":0.0005784276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254537,"about_ca_topic_score_gemma":0.0001196689,"domain_scores_codex":[0.9988573,0.000155817,0.0002941897,0.00008757295,0.0003541116,0.0002510142],"domain_scores_gemma":[0.9986005,0.0005465079,0.0001156572,0.0000829807,0.0005731847,0.0000811257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001404309,0.00005648356,0.0009880291,0.0003428606,0.00007394641,0.00002110663,0.02708502,3.647569e-8,0.0003961246,0.5958082,0.3096587,0.06542907],"study_design_scores_gemma":[0.0004003623,0.0006792239,0.0339679,0.00008151073,0.00005233142,0.00004115988,0.02079845,0.000004495039,0.0001637958,0.08344062,0.8602848,0.00008536808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7441952,0.03526738,0.000007892144,0.1185125,0.002949593,0.0004463007,0.00002957089,0.00001033959,0.09858125],"genre_scores_gemma":[0.9400759,0.008174861,0.0001028964,0.0001265305,0.002539246,0.000009340793,3.102539e-7,0.00001433027,0.04895658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5506261,"threshold_uncertainty_score":0.5878205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5094817570195066,"score_gpt":0.6260760779862253,"score_spread":0.1165943209667187,"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."}}