{"id":"W6969394830","doi":"10.5683/sp3/xupsbp","title":"Replication Data for: Climax as Work: Heteronormativity, Gender Labor, and the Gender the Gap in Orgasms","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Climax; Replication (statistics); Gender gap; Code (set theory); Doing gender","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003135942,0.002006662,0.001417791,0.002675506,0.002432812,0.004792758,0.004144942,0.003552376,0.2014663],"category_scores_gemma":[0.02477331,0.000987393,0.001747474,0.004299302,0.0008290372,0.002718364,0.004517366,0.003584384,0.1653082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00312049,"about_ca_system_score_gemma":0.00564243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1189554,"about_ca_topic_score_gemma":0.2083782,"domain_scores_codex":[0.9980026,0.0003813757,0.0002223454,0.0004010432,0.0006167851,0.0003758682],"domain_scores_gemma":[0.9887422,0.002515586,0.0008046008,0.002201932,0.004522424,0.00121334],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002942993,0.000009230153,0.0004076986,0.0001797594,0.000007074204,0.000004816566,0.00003101286,0.00003307977,0.00001255993,0.0003739041,0.9981201,0.0007913155],"study_design_scores_gemma":[0.0004586098,0.00001514457,0.0094464,0.0006667205,0.00003039677,0.00003208708,0.0004462925,0.00026683,0.0001691724,0.002333673,0.9860773,0.00005739425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008066876,0.00003196296,0.00005030322,0.000287342,0.00007037578,0.00002004514,0.9980235,0.0001604053,0.001275357],"genre_scores_gemma":[0.0008974366,0.00004685058,0.0003958449,0.0001824651,0.00003106692,0.0004140502,0.9940221,0.0001390395,0.003871054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9968641,"threshold_uncertainty_score":0.6739718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257849003988286,"score_gpt":0.3527974515272444,"score_spread":0.2270125511284158,"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."}}