{"id":"W2321371722","doi":"10.1177/171516350413700105","title":"Using a Secret Shopper to Evaluate Pharmacist Provision of Emergency Contraception","year":2004,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Pharmacist; Emergency contraception; Medicine; Protocol (science); Pill; Pharmacy; Family medicine; Scripting language; Medical emergency; Family planning; Nursing; Alternative medicine; Population; Computer science; Research methodology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00107035,0.0004013701,0.0005881371,0.0005968042,0.0006239116,0.00004778456,0.0002737187,0.00008376918,0.001254927],"category_scores_gemma":[0.0003478508,0.0004054342,0.0002271545,0.0009021079,0.0001013177,0.000402527,0.00002768444,0.0006621411,0.00002536376],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004837457,"about_ca_system_score_gemma":0.008698996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02525537,"about_ca_topic_score_gemma":0.02557686,"domain_scores_codex":[0.9963186,0.0001664376,0.001057517,0.0005712848,0.0007837538,0.001102441],"domain_scores_gemma":[0.9941712,0.00002108846,0.0004042615,0.0003303686,0.001670001,0.0034031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","study_design_scores_codex":[0.003173458,0.0003769598,0.008370293,0.00137914,0.0005239253,0.02704884,0.00452834,0.01819301,0.7365325,0.00009991653,0.008779333,0.1909943],"study_design_scores_gemma":[0.02635751,0.00113866,0.001211044,0.0004746439,0.001790087,0.8064322,0.0001495274,0.02110308,0.08075613,0.0004946588,0.05788354,0.002208946],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912117,0.001003371,0.002013935,0.0006716455,0.003027284,0.001326627,0.0001919057,0.00002606438,0.0005274671],"genre_scores_gemma":[0.9929748,0.001933315,0.0009641802,0.00184941,0.001880594,0.00002628766,0.00003352807,0.00006965771,0.0002682834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7793834,"threshold_uncertainty_score":0.9998397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075084172670744,"score_gpt":0.3806949428252571,"score_spread":0.2731865255581826,"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."}}