{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006955916,0.001824177,0.0009728016,0.002071332,0.001071773,0.00199848,0.002030702,0.002408968,0.08780354],"category_scores_gemma":[0.004390708,0.0004540436,0.001202545,0.00244943,0.0003814528,0.001517615,0.001949879,0.001827121,0.1093122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503677,"about_ca_system_score_gemma":0.001430591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02694755,"about_ca_topic_score_gemma":0.07869256,"domain_scores_codex":[0.999413,0.000113751,0.00006950594,0.0001283506,0.000143625,0.0001317006],"domain_scores_gemma":[0.9984666,0.0005001635,0.0001811089,0.000274552,0.0003881945,0.0001893886],"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":[0.00006671175,0.00002488171,0.001253762,0.0003835379,0.00001131355,0.0000198439,0.00002417672,0.0001230936,0.00006084117,0.000186618,0.9949356,0.002909558],"study_design_scores_gemma":[0.0003064565,0.00007126976,0.01331216,0.0005840336,0.0000483568,0.000150761,0.000283413,0.001319921,0.000727878,0.0008875829,0.9822546,0.00005368653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004767715,0.00008109139,0.00005367686,0.0002461342,0.0000955553,0.00003097266,0.9974832,0.0002749158,0.001257863],"genre_scores_gemma":[0.001528572,0.0001037074,0.0003027067,0.0001408548,0.00003940654,0.0001822993,0.9947931,0.00007374106,0.002835525],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08780354,"threshold_uncertainty_score":0.2937321,"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."}}