{"id":"W6888979287","doi":"10.25384/sage.14920578","title":"Supplemental Material, sj-pdf-1-caj-10.1177_08465371211026310 - Is Call Karma Real? Resident After-Hours On-Call Imaging at the University of Saskatchewan: An Assessment of Call Volumes Including Inter-Resident Variability","year":2021,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Karma; Call to action; MEDLINE; Association (psychology)","routes":{"ca_aff":false,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001592987,0.0007742234,0.0008780776,0.002921828,0.001508788,0.004028837,0.002431196,0.002201662,0.9217281],"category_scores_gemma":[0.02231555,0.0008393195,0.0004971602,0.003881026,0.0004125776,0.002039369,0.001808036,0.00156202,0.6448436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699084,"about_ca_system_score_gemma":0.005535446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05424929,"about_ca_topic_score_gemma":0.09932217,"domain_scores_codex":[0.9985067,0.0001057636,0.00017545,0.0001324657,0.0008639038,0.0002156019],"domain_scores_gemma":[0.9733762,0.007306032,0.001217203,0.001444492,0.01406412,0.002592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004767096,0.00005709407,0.0003690004,0.00007586238,0.000002671425,0.00001983319,0.000009357525,0.00003029928,0.00007927694,0.0001081788,0.9911964,0.008004393],"study_design_scores_gemma":[0.0003292144,0.00009622824,0.01233876,0.0004028257,0.00001614471,0.0002195724,0.0002145962,0.0003510743,0.0004856297,0.001250656,0.9842377,0.00005753553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001801246,0.0002388058,0.001622163,0.004184424,0.002431627,0.0007257549,0.7561445,0.01003056,0.2228209],"genre_scores_gemma":[0.01232964,0.0007750584,0.006671654,0.006460012,0.001623471,0.000893248,0.4691499,0.007248559,0.4948484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9217281,"threshold_uncertainty_score":0.1116452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03400595289435899,"score_gpt":0.3189461865923815,"score_spread":0.2849402336980225,"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."}}