{"id":"W6945951707","doi":"10.3389/fmed.2019.00061.s001","title":"Data_Sheet_1_The Patient Perspectives on Future Therapeutic Options in NASH and Patient Needs.zip","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease; Conjoint analysis; Ranking (information retrieval); Patient satisfaction; Product (mathematics); Scale (ratio); MEDLINE; Referral","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":[0.003322546,0.0005308859,0.001040663,0.002344602,0.001024854,0.001565373,0.001339029,0.00152459,0.6492131],"category_scores_gemma":[0.02024054,0.0003949077,0.0008330354,0.003207643,0.0002742902,0.001560026,0.001466519,0.001274275,0.1458891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00235213,"about_ca_system_score_gemma":0.004188892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008272201,"about_ca_topic_score_gemma":0.01537817,"domain_scores_codex":[0.998309,0.000556839,0.000399565,0.000126028,0.0004066868,0.0002019172],"domain_scores_gemma":[0.9780459,0.01183109,0.00184158,0.0008229293,0.005695554,0.001762953],"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":[0.0003698065,0.0001298155,0.001989448,0.001757678,0.000009138136,0.00004195097,0.00009900579,0.0001134048,0.00004456221,0.000686768,0.951252,0.04350641],"study_design_scores_gemma":[0.001668595,0.0002828262,0.02449286,0.003288436,0.00002952836,0.0001566472,0.0008120919,0.0004302266,0.0002708374,0.002043138,0.9664451,0.00007965165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002054377,0.0002390973,0.0004920456,0.003888611,0.0002759976,0.003914224,0.923233,0.0005866981,0.06531584],"genre_scores_gemma":[0.03059139,0.002200942,0.0130027,0.01321296,0.000678785,0.06179165,0.7568104,0.0007266791,0.1209845],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6492131,"threshold_uncertainty_score":0.5003549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056179282563048,"score_gpt":0.277688089798512,"score_spread":0.2471262969728815,"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."}}