{"id":"W6977143526","doi":"10.6084/m9.figshare.5623513.v1","title":"#ItsNotInYourHead Campaign Materials - Provoked Vestibulodynia","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulvodynia; Photo elicitation; MEDLINE; Public health; Distressing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002779517,0.0006163201,0.0007230545,0.0002207995,0.0005630013,0.001428058,0.006688398,0.0007127862,0.1054716],"category_scores_gemma":[0.006085242,0.0005907154,0.0001122832,0.000151855,0.00001747845,0.0004667055,0.002116094,0.001077612,0.03425522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001218135,"about_ca_system_score_gemma":0.0007861877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004648389,"about_ca_topic_score_gemma":0.0001272921,"domain_scores_codex":[0.996388,0.0003706797,0.0005580759,0.001176176,0.0007095573,0.0007975185],"domain_scores_gemma":[0.9936952,0.0002713512,0.001089181,0.004343354,0.000278929,0.0003219897],"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":[0.000003101141,0.00002020442,0.00000166413,0.00160593,0.00001570948,0.0001826201,0.00002938765,0.000005584176,0.000003254756,0.000006815179,0.9972159,0.0009098352],"study_design_scores_gemma":[0.0001466536,0.0001110071,0.0005114494,0.004281339,0.000009834695,0.00005918315,6.994925e-7,0.0001149485,0.00005430297,0.00004571988,0.9940614,0.0006034957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000210401,0.0002111025,0.000006854627,0.0004420372,0.001170816,0.0008013745,0.9968188,0.0003772838,0.000169578],"genre_scores_gemma":[0.00003025663,0.000006263529,0.0007227081,0.000456328,0.001031983,0.0005234582,0.9965683,0.00004605082,0.0006146738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07121635,"threshold_uncertainty_score":0.9996544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05029135888671017,"score_gpt":0.3450007145126199,"score_spread":0.2947093556259097,"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."}}