{"id":"W6931762987","doi":"10.5683/sp/2n52yt","title":"SSB 2018 Orgasm Gap Data","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Orgasm; Gender gap; Subconscious; Feature (linguistics)","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":[0.001089532,0.002003981,0.001344388,0.002942099,0.00106711,0.001914544,0.002975663,0.00266456,0.07335871],"category_scores_gemma":[0.007091891,0.0005426055,0.001175455,0.003958134,0.0004399517,0.001449842,0.002390849,0.002195196,0.09633912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597044,"about_ca_system_score_gemma":0.002055587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.038307,"about_ca_topic_score_gemma":0.07143827,"domain_scores_codex":[0.9990213,0.0001729848,0.00009485478,0.0002257788,0.0002921705,0.000193059],"domain_scores_gemma":[0.9970266,0.0005755925,0.0003076454,0.0005260029,0.001128838,0.0004353283],"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":[0.00005825574,0.00002032909,0.0008028559,0.0001594071,0.000009013928,0.00001446694,0.00001891572,0.00007178951,0.00002731397,0.0002200647,0.996734,0.001863627],"study_design_scores_gemma":[0.0002866844,0.00003174419,0.01412861,0.0003141917,0.00002430152,0.0001113648,0.0002520752,0.0006208188,0.0002724878,0.001418569,0.9825012,0.00003796729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003943777,0.0001207678,0.00006947068,0.0002030048,0.00005736228,0.00001637298,0.9975218,0.0002651128,0.001351746],"genre_scores_gemma":[0.0009323664,0.00004443797,0.0001718752,0.00006560771,0.00001683545,0.0001050749,0.9971979,0.00005226938,0.001413735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07335871,"threshold_uncertainty_score":0.2454094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09222671864185174,"score_gpt":0.3358891469638263,"score_spread":0.2436624283219746,"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."}}