{"id":"W1995235124","doi":"10.4103/0971-4065.106053","title":"Story behind the wrinkle","year":2012,"lang":"en","type":"article","venue":"Indian Journal of Nephrology","topic":"Utopian, Dystopian, and Speculative Fiction","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institute of Steel Construction","keywords":"Medicine; Wrinkle; Dermatology; Data science; Gerontology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002559358,0.0005466072,0.0006079224,0.0008398279,0.01215489,0.005424702,0.0009326493,0.0102586,0.01084516],"category_scores_gemma":[0.01189091,0.0002910891,0.0005108777,0.0005854397,0.01335029,0.006405657,0.003810269,0.02807306,0.003350753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00355038,"about_ca_system_score_gemma":0.002873492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006235524,"about_ca_topic_score_gemma":0.008535009,"domain_scores_codex":[0.9986061,0.0005558474,0.00004641735,0.000205743,0.0002875838,0.0002982327],"domain_scores_gemma":[0.9964834,0.001875122,0.0002244595,0.0002142007,0.0004907009,0.0007119898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.0001304477,0.00006340247,0.0008463972,0.0001061441,0.00002139651,0.00613181,0.02609922,0.000101955,0.0002131737,0.2250752,0.7222983,0.01891263],"study_design_scores_gemma":[0.00002406548,0.00002358849,0.0004363756,0.0001731052,0.000009798354,0.003392926,0.01080798,0.00008597962,0.0001502741,0.03749682,0.9473693,0.00002972589],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008250662,0.01726819,0.000489224,0.9029874,0.01516114,0.00001296167,0.0001487237,0.00006942154,0.05561236],"genre_scores_gemma":[0.3032869,0.01751362,0.0009360336,0.4901385,0.03657437,0.00006302168,0.0001649747,0.000325577,0.1509972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01215489,"threshold_uncertainty_score":0.03628063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884169030652223,"score_gpt":0.2352502108303476,"score_spread":0.2064085205238253,"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."}}