{"id":"W3026752979","doi":"10.1016/j.healthpol.2020.04.010","title":"Consequences of banning commercial solaria in 2016 in Australia","year":2020,"lang":"en","type":"article","venue":"Health Policy","topic":"Skin Protection and Aging","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"QIMR Berghofer Medical Research Institute","keywords":"Environmental health; Enforcement; Quarter (Canadian coin); Government (linguistics); Population; Index (typography); Business; Productivity; Medicine; Geography; Economic growth; Political science; Economics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002336666,0.00005276627,0.0002156951,0.0001628753,0.00002064121,0.000002735773,0.0000339546,0.00004118334,0.00009113998],"category_scores_gemma":[0.0002371919,0.0000489007,0.00002026392,0.0003801097,0.00005220188,0.0000287093,0.00001340735,0.0002218394,0.00002020188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008150823,"about_ca_system_score_gemma":0.0005700375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03380781,"about_ca_topic_score_gemma":0.0003047091,"domain_scores_codex":[0.9992412,0.00007797711,0.0002967523,0.00009900634,0.0000803188,0.0002047401],"domain_scores_gemma":[0.9996955,0.0000283043,0.00007410823,0.00005651851,0.0000132862,0.0001323055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007706781,0.0002957322,0.826385,0.002672884,0.0000277185,0.0001723926,0.04782197,0.00007458776,0.03025396,0.01583245,0.02897602,0.04671662],"study_design_scores_gemma":[0.005338022,0.0006942104,0.9573411,0.001735775,0.000005766195,0.0000540114,0.001246706,0.0002901309,0.006938463,0.0009330804,0.02522476,0.0001979201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7027823,0.0001473492,0.0000648799,0.2951604,0.00009565341,0.0003938331,0.000004739753,0.0000274948,0.001323394],"genre_scores_gemma":[0.9823799,0.00002867477,0.0002856742,0.01695303,0.0002371933,0.00000633428,0.000001746612,0.000004988227,0.0001024989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2795976,"threshold_uncertainty_score":0.9726261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1654035537527054,"score_gpt":0.4609810197648647,"score_spread":0.2955774660121592,"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."}}