{"id":"W4388775919","doi":"10.1177/17151635231207694","title":"AFPC CPERC 2023 Abstracts – Oral and Poster Presentations","year":2023,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Computer science; Medical physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001683148,0.001178829,0.0009651612,0.002326713,0.00247824,0.005091756,0.00131608,0.002534906,0.9255691],"category_scores_gemma":[0.007915039,0.0004940011,0.0008988347,0.001660819,0.0005836199,0.001488338,0.001987013,0.00188087,0.7776629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003848444,"about_ca_system_score_gemma":0.009522576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03809057,"about_ca_topic_score_gemma":0.07492802,"domain_scores_codex":[0.998266,0.0001498543,0.00007133836,0.0001589376,0.001104838,0.0002490887],"domain_scores_gemma":[0.9914936,0.0006193186,0.000240607,0.0002832891,0.00473143,0.002631702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006383515,0.00002770973,0.00006234369,0.00008295264,0.000003006611,0.00004018951,0.000008946394,0.00001202038,0.0001203954,0.0002018942,0.974048,0.02532873],"study_design_scores_gemma":[0.00002894373,0.00002333572,0.0004362274,0.0001086969,0.000003378755,0.00004491768,0.00003622672,0.00002978843,0.0001254071,0.0001461521,0.9990108,0.000006142714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006919937,0.003131278,0.0005452194,0.009476106,0.01984771,0.0005459968,0.0103355,0.001382368,0.9540439],"genre_scores_gemma":[0.001938228,0.001216719,0.0002963167,0.001116263,0.001706794,0.00007620538,0.001806878,0.0003131887,0.9915293],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07443088,"threshold_uncertainty_score":0.1061666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04905859460804386,"score_gpt":0.3212007657541824,"score_spread":0.2721421711461385,"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."}}