{"id":"W4308354356","doi":"10.1177/17151635221135415","title":"AFPC CPERC 2022 Abstracts: Oral and Poster Presentations","year":2022,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Information retrieval; Computer science","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":[],"category_scores_codex":[0.001576275,0.001197989,0.000819979,0.001584615,0.002828186,0.004372268,0.00126851,0.003585217,0.7699584],"category_scores_gemma":[0.004647288,0.0003573667,0.001101436,0.001057646,0.0004913979,0.0008874976,0.001576082,0.002078651,0.3821627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005385244,"about_ca_system_score_gemma":0.01435561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07259395,"about_ca_topic_score_gemma":0.165014,"domain_scores_codex":[0.998328,0.00009902896,0.00004798057,0.0001364846,0.001056102,0.0003324464],"domain_scores_gemma":[0.9933751,0.0003481961,0.0001287351,0.0001312944,0.003978573,0.002038168],"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":[0.0001090122,0.00003893172,0.00007169495,0.00006876495,0.000003627803,0.00004869395,0.000006848749,0.00001737185,0.0001720077,0.0001746422,0.986563,0.0127254],"study_design_scores_gemma":[0.000089762,0.00005619049,0.001146358,0.00009784844,0.00000678585,0.00004346091,0.00005074514,0.00005124948,0.0002112948,0.0001789054,0.9980595,0.00000790138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002027482,0.005138439,0.0006766297,0.02496437,0.09137829,0.001377784,0.01297214,0.0006705965,0.8607942],"genre_scores_gemma":[0.003477339,0.001200513,0.0002627088,0.002017366,0.006343618,0.0001319531,0.0015786,0.0001190844,0.9848689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7699584,"threshold_uncertainty_score":0.3281264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03108185476354567,"score_gpt":0.2948218582331299,"score_spread":0.2637400034695842,"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."}}