{"id":"W1240268489","doi":"10.1097/psn.0000000000000104","title":"The World Needs More Jeanne's","year":2015,"lang":"en","type":"letter","venue":"Plastic Surgical Nursing","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Princess Margaret Cancer Foundation; Conquer Cancer Foundation","keywords":"Nursing homes; History; Management; Political science; Library science; Medicine; Nursing; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001758996,0.0006109928,0.0005747569,0.0005781091,0.004610338,0.004350987,0.0006644866,0.008288654,0.0460249],"category_scores_gemma":[0.008455608,0.0001971326,0.0006041137,0.0003612872,0.003111853,0.005554534,0.002537674,0.01684667,0.01021334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002222942,"about_ca_system_score_gemma":0.003917617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00479342,"about_ca_topic_score_gemma":0.009796713,"domain_scores_codex":[0.9983585,0.000443138,0.00008530897,0.0002324881,0.0005533599,0.0003270954],"domain_scores_gemma":[0.995141,0.001129444,0.0002049632,0.0002295959,0.001128589,0.002166312],"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":[0.000007516384,0.00001926032,0.00030512,0.00004976517,0.000005382913,0.0006870129,0.0004025017,0.00001745871,0.00008642791,0.004551322,0.9793819,0.01448624],"study_design_scores_gemma":[0.000004505624,0.00001187965,0.0002368311,0.000186867,0.000002910251,0.001350437,0.001345763,0.00002489638,0.00001984271,0.002194994,0.9946132,0.000007901833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007302542,0.0071057,0.0002169539,0.9202821,0.03766138,0.000008224127,0.00003635274,0.00006176336,0.03389727],"genre_scores_gemma":[0.01687085,0.01030284,0.0005478606,0.8481755,0.03074217,0.00002101068,0.00005769162,0.00006693628,0.09321513],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0460249,"threshold_uncertainty_score":0.1539686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762485540938642,"score_gpt":0.3145294052505711,"score_spread":0.2869045498411847,"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."}}