{"id":"W3110814648","doi":"10.36834/cmej.71617","title":"This is a valuable editorial on assertiveness!","year":2020,"lang":"en","type":"editorial","venue":"Canadian Medical Education Journal","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Assertiveness; Computer science; Data science; Psychology; Psychotherapist","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":[],"consensus_categories":[],"category_scores_codex":[0.01114605,0.00401592,0.004695695,0.01014824,0.008105303,0.01510628,0.00507518,0.0252213,0.04047907],"category_scores_gemma":[0.06689696,0.001446862,0.003252304,0.003664398,0.003823088,0.004103804,0.002769954,0.0196034,0.01947929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01085533,"about_ca_system_score_gemma":0.0149325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02732519,"about_ca_topic_score_gemma":0.09249067,"domain_scores_codex":[0.9880084,0.00155562,0.001145183,0.0007549606,0.00751364,0.001022273],"domain_scores_gemma":[0.9166353,0.02352565,0.003237759,0.001455461,0.04184924,0.01329664],"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":[0.00001098703,0.000004292494,0.00001103919,0.00006020918,0.000004937305,0.00003555158,0.000005182865,0.000004360511,0.000006271374,0.00008365653,0.9977805,0.001992894],"study_design_scores_gemma":[0.0001025361,0.00002299667,0.0003897235,0.0007082311,0.00005852066,0.0001664154,0.00007350503,0.00007516854,0.0000345634,0.0007272048,0.9976047,0.00003633142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000132248,0.002684348,0.00002825377,0.03118187,0.9639768,0.00001607333,0.00003245236,0.00002078357,0.002046293],"genre_scores_gemma":[0.0003257846,0.002964211,0.00006171974,0.03129224,0.952302,0.00002940484,0.00004525018,0.00003955062,0.01293987],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04047907,"threshold_uncertainty_score":0.135416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422305201230756,"score_gpt":0.3790842059167877,"score_spread":0.3548611539044801,"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."}}