{"id":"W4308688960","doi":"10.1017/cjn.2022.317","title":"Visual Snow Syndrome: Use of Text-To-Image Artificial Intelligence Models to Improve the Patient Perspective","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health; St. Michael's Hospital; University of Toronto","funders":"","keywords":"Perspective (graphical); Content (measure theory); Computer science; Artificial intelligence; Snow; Psychology; Image (mathematics); Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002626002,0.0002561217,0.0004997023,0.0008645599,0.002372372,0.0003187172,0.001296638,0.00007699562,0.0004300098],"category_scores_gemma":[0.004588339,0.0001473137,0.0002709474,0.002079357,0.003544719,0.0004876669,0.0002023103,0.001106494,0.00000342679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000359618,"about_ca_system_score_gemma":0.002562996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765805,"about_ca_topic_score_gemma":0.006814099,"domain_scores_codex":[0.9953696,0.001264349,0.0008718274,0.0004973894,0.001088339,0.0009084882],"domain_scores_gemma":[0.9955218,0.00122664,0.0005653723,0.0001769316,0.000708216,0.001800972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.01486762,0.001103078,0.05260776,0.00002888858,0.0001992041,0.02841617,0.02047737,0.649792,0.01975603,0.05593151,0.003464649,0.1533557],"study_design_scores_gemma":[0.0003116917,0.5394957,0.2715544,0.00008909502,0.0001378874,0.04743445,0.01087667,0.0189136,0.002272379,0.10456,0.003517074,0.0008370987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875802,0.0001376332,0.000300811,0.01073326,0.0005066359,0.0004046451,0.00003572958,0.00001088248,0.0002901782],"genre_scores_gemma":[0.9894664,0.00002122014,0.001727288,0.008656329,0.00008517923,0.000009739114,2.095832e-7,0.000009616694,0.00002406876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6308784,"threshold_uncertainty_score":0.9991671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07301805565429109,"score_gpt":0.3144361892461749,"score_spread":0.2414181335918838,"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."}}