{"id":"W4230578639","doi":"10.2196/29516","title":"Correction: Association Between State Indoor Tanning Legislation and Google Search Trends Data in the United States From 2006 to 2019: Time-Series Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Skin Protection and Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; State (computer science); Series (stratigraphy); Association (psychology); Information retrieval; Computer science; Library science; Political science; Statistics; Mathematics; Law; Psychology; Algorithm; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002861096,0.00008762517,0.0002707824,0.000505308,0.0001007586,0.0000611169,0.00008290282,0.00008516712,0.0001641018],"category_scores_gemma":[0.0001667136,0.00007410604,0.00002632695,0.001940729,0.00002310636,0.0001607129,0.00008564842,0.0002553803,0.00002817368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006494171,"about_ca_system_score_gemma":0.00004308248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100139,"about_ca_topic_score_gemma":0.0006177778,"domain_scores_codex":[0.9987779,0.0003410323,0.0002434853,0.0002633725,0.0001924893,0.0001816667],"domain_scores_gemma":[0.9990957,0.0003714383,0.00008429642,0.0002965617,0.0001025334,0.0000495026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000045927,0.00003000846,0.9641036,0.000006339538,0.000305871,0.00006302809,0.002783102,0.0002038441,0.000204648,0.000002144075,0.02641987,0.00583159],"study_design_scores_gemma":[0.000642282,0.00003005055,0.9453532,0.00002892221,0.0002370398,0.00007456307,0.001202669,0.01399145,0.0009630084,0.00003778411,0.03734003,0.0000989547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794998,0.0001199944,0.002015171,0.01741284,0.0001096199,0.0001764514,0.0001332619,0.0000464354,0.0004864493],"genre_scores_gemma":[0.9856668,0.00004779681,0.0003985098,0.001141297,0.0001013177,0.00003186606,0.00716556,0.0000126286,0.00543425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01875039,"threshold_uncertainty_score":0.3021957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637459954307267,"score_gpt":0.3258277457494871,"score_spread":0.2994531462064144,"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."}}