{"id":"W2328923132","doi":"10.1177/171516350413700503","title":"Sorting through Sunscreen Choices","year":2004,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Skin Protection and Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sorting; Computer science; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002129614,0.0002534597,0.0005583429,0.001510543,0.002095195,0.004819998,0.0007348652,0.001410095,0.07492424],"category_scores_gemma":[0.02009492,0.0003177965,0.0006455683,0.001711412,0.0006937523,0.002702397,0.001099743,0.001493622,0.006207978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002367733,"about_ca_system_score_gemma":0.003455625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03584092,"about_ca_topic_score_gemma":0.07278323,"domain_scores_codex":[0.9975206,0.0006906661,0.0001193079,0.0003611521,0.0006621352,0.0006461088],"domain_scores_gemma":[0.9897897,0.00454589,0.001615924,0.001008799,0.001547549,0.001492103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003324345,0.001455535,0.4794812,0.0001760638,0.0001677417,0.0002470084,0.003977492,0.0007686212,0.001431087,0.01863884,0.035676,0.454656],"study_design_scores_gemma":[0.0004736907,0.001037984,0.7199832,0.0003724205,0.0003068278,0.0004817394,0.04229483,0.008727013,0.003646874,0.09177455,0.1307111,0.0001897451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886514,0.001006073,0.001765785,0.007691281,0.0002255358,0.0001904742,0.001905179,0.0001052699,0.09845901],"genre_scores_gemma":[0.9738151,0.0003333513,0.001580309,0.001348766,0.00004530928,0.00003039998,0.0006572784,0.00003449539,0.02215501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07492424,"threshold_uncertainty_score":0.2506465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04625049915843907,"score_gpt":0.2975780289625513,"score_spread":0.2513275298041122,"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."}}