{"id":"W2115686045","doi":"10.1503/cmaj.120462","title":"Distracted doctoring: Smartphones before patients?","year":2012,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Laptop; Front (military); Multimedia; Computer science; Medicine; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002212915,0.0003953156,0.0005510939,0.0004614327,0.005640919,0.005241849,0.0008398007,0.004941824,0.03162603],"category_scores_gemma":[0.02915115,0.0004871434,0.0004863938,0.0004730228,0.00264139,0.007915525,0.004165898,0.007679598,0.006864494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001822339,"about_ca_system_score_gemma":0.002296371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007975754,"about_ca_topic_score_gemma":0.0160006,"domain_scores_codex":[0.9975029,0.001211688,0.0001554314,0.0002202184,0.0003731982,0.0005366438],"domain_scores_gemma":[0.9882689,0.004139218,0.001731242,0.0005150705,0.001274619,0.004071049],"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":[0.0006333185,0.0004203559,0.06390973,0.0008951789,0.0001159102,0.01191635,0.1008794,0.0001300923,0.001211453,0.01483643,0.5695477,0.2355041],"study_design_scores_gemma":[0.000167663,0.0005703398,0.04242129,0.0039039,0.0001868725,0.01915509,0.327382,0.0005557349,0.001172347,0.0187845,0.5854132,0.0002871939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1359709,0.0155935,0.00234867,0.7407305,0.00960117,0.00007670117,0.0006572513,0.00031975,0.09470158],"genre_scores_gemma":[0.7910371,0.01462974,0.001563903,0.1603029,0.004423819,0.00008123546,0.0003123433,0.0002096118,0.02743939],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03162603,"threshold_uncertainty_score":0.1057996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951577582008918,"score_gpt":0.3313420938742872,"score_spread":0.301826318054198,"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."}}