{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004272768,0.0005163756,0.0008485958,0.0004310551,0.0001671591,0.0001830216,0.000347646,0.0003884567,0.0001560582],"category_scores_gemma":[0.0019358,0.0003168645,0.0002331607,0.0007752015,0.001238701,0.00008859061,0.00006114737,0.003177006,0.0003517289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000461457,"about_ca_system_score_gemma":0.0002650881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005533956,"about_ca_topic_score_gemma":6.508366e-7,"domain_scores_codex":[0.9963498,0.00008802057,0.0005709006,0.0004508349,0.001584768,0.0009556381],"domain_scores_gemma":[0.9932564,0.005221572,0.0001733304,0.0006952665,0.0002803287,0.0003730845],"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":[0.0001852431,0.00006220213,0.00008405418,0.00008603474,0.00009199704,0.005111085,0.0001181642,0.000005599141,0.000001898712,0.00005623812,0.9817193,0.01247822],"study_design_scores_gemma":[0.001387485,0.0001495526,0.00007533655,0.003633963,0.0004613362,0.001773379,0.0001499711,0.0006408683,0.000007116074,0.0003280849,0.99107,0.000322903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004916033,0.001826753,0.00005385852,0.8087382,0.00571103,0.0003431687,0.00001570819,0.0002551816,0.1825645],"genre_scores_gemma":[0.01229783,0.0000753082,0.000550618,0.6312976,0.05085009,0.00007451951,0.001351769,0.0005333476,0.3029689],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1774406,"threshold_uncertainty_score":0.9999284,"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."}}