{"id":"W2912213232","doi":"10.2174/1874434601913010018","title":"m-Health in the Surgical Context: Prospecting, Review and Analysis of Mobile Applications","year":2019,"lang":"en","type":"article","venue":"The Open Nursing Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trademark; Context (archaeology); Inclusion and exclusion criteria; Health care; Inclusion (mineral); Intellectual property; Exploratory research; Medicine; Identification (biology); Medical education; Alternative medicine; Computer science; Political science; Psychology; Geography; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.005348066,0.0008557978,0.002221935,0.03020588,0.0006304038,0.002782154,0.001177627,0.001341039,0.003957781],"category_scores_gemma":[0.02750825,0.0004021376,0.002199466,0.02291093,0.0008700382,0.003174795,0.001442419,0.0009638247,0.0005415904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788343,"about_ca_system_score_gemma":0.006934359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728614,"about_ca_topic_score_gemma":0.003853714,"domain_scores_codex":[0.9950717,0.001437335,0.001817517,0.0003398239,0.001174331,0.0001592029],"domain_scores_gemma":[0.9592986,0.03153894,0.004786581,0.00057607,0.00346965,0.0003302166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000157781,0.00007325332,0.002113454,0.637696,0.001059685,0.0006757006,0.001660494,0.0002132048,0.001070445,0.00289178,0.007873495,0.3445147],"study_design_scores_gemma":[0.00004766563,0.000316879,0.01503508,0.7338418,0.008093391,0.002568694,0.00273594,0.0003368349,0.001216586,0.003082312,0.2326443,0.00008044761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002289985,0.9941092,0.0004454926,0.0008606681,0.0002333507,0.0002275987,0.0003928361,0.00001171423,0.001429208],"genre_scores_gemma":[0.01502771,0.9814912,0.001529179,0.0006182077,0.0003290244,0.000366935,0.0002851494,0.000008483462,0.0003441295],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03020588,"threshold_uncertainty_score":0.02828366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739198216445867,"score_gpt":0.4922408472256515,"score_spread":0.4448488650611929,"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."}}