{"id":"W2891846460","doi":"10.5430/jha.v7n5p50","title":"What clinicians think about smartphones for healthcare communication","year":2018,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mainstream; Health care; Perception; Smartphone application; Medicine; Computer science; Psychology; Multimedia","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002022837,0.0001557655,0.0003669505,0.0001196973,0.001340846,0.00004777765,0.0003253276,0.0002824391,0.00009572665],"category_scores_gemma":[0.0005149842,0.0001364468,0.0001444923,0.0001991764,0.00013089,0.0007827673,0.00003282353,0.0006175202,0.0001050969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929988,"about_ca_system_score_gemma":0.001962656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005255236,"about_ca_topic_score_gemma":0.0007274455,"domain_scores_codex":[0.9968712,0.0003391528,0.001845222,0.0001936113,0.0002946697,0.0004560939],"domain_scores_gemma":[0.9942597,0.0007501651,0.00205445,0.0004510766,0.002094968,0.0003895973],"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":[0.004292514,0.003497021,0.09605651,0.003719176,0.0002024186,0.000009995779,0.03663967,0.000004094246,0.0001915667,0.165205,0.4825952,0.2075868],"study_design_scores_gemma":[0.005552442,0.04100803,0.1413449,0.002844895,0.0001683169,0.00003778543,0.03242802,0.0003198987,0.0004596116,0.04499588,0.7302265,0.0006138418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7677869,0.00644501,0.008197936,0.1922086,0.01547073,0.007832083,0.0001018648,0.0001269026,0.001829982],"genre_scores_gemma":[0.9793915,0.005479514,0.006251469,0.004561504,0.002945116,0.0007519198,0.00008612347,0.0000318623,0.0005010507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2476312,"threshold_uncertainty_score":0.9999593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05697311995866636,"score_gpt":0.4687667188807195,"score_spread":0.4117935989220531,"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."}}