{"id":"W6939763923","doi":"10.6084/m9.figshare.26869525.v1","title":"Supplementary Material for: Caregiver Experience Survey of Anti-Vascular Endothelial Growth Factor Treatment for Diabetic Macular Edema and Neovascular Age-Related Macular Degeneration","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Macular degeneration; Diabetic macular edema; Diabetes mellitus; Diabetic retinopathy; Disease; Risk factor","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001589266,0.0007694323,0.0008629666,0.003068258,0.001089743,0.001378407,0.001388464,0.0009243649,0.7201573],"category_scores_gemma":[0.02297058,0.0004684748,0.0005672364,0.003898537,0.000165231,0.001329524,0.0009970684,0.0008070497,0.1288578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054287,"about_ca_system_score_gemma":0.001819625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161509,"about_ca_topic_score_gemma":0.0178688,"domain_scores_codex":[0.9992542,0.0002106253,0.0002088649,0.00009521572,0.000139639,0.00009158954],"domain_scores_gemma":[0.983138,0.009741403,0.001179335,0.0005785133,0.004487045,0.0008756922],"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":[0.0002489864,0.0002818516,0.004472757,0.0008705592,0.00002034744,0.0001078942,0.0001322918,0.0001147487,0.0000505805,0.0003736859,0.9656163,0.02771007],"study_design_scores_gemma":[0.003691453,0.000907953,0.2282692,0.00538686,0.0001514854,0.001419249,0.003377142,0.001996511,0.0006104248,0.007122403,0.746848,0.0002191276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00494425,0.0001404541,0.0006902457,0.001045401,0.0004222221,0.001514946,0.9724353,0.0004439792,0.0183633],"genre_scores_gemma":[0.03185242,0.0008800492,0.009000494,0.001688208,0.0004046751,0.009780638,0.8901,0.0004284814,0.05586504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7201573,"threshold_uncertainty_score":0.3991616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03295368763996415,"score_gpt":0.2514508904607288,"score_spread":0.2184972028207646,"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."}}