{"id":"W6977702533","doi":"10.6084/m9.figshare.c.5535634.v1","title":"Exploring the effects of telehealth on medical human resources supply: a qualitative case study in remote regions","year":2021,"lang":"en","type":"other","venue":"Figshare","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Workforce; Telemedicine; Delphi method; Work (physics); Rural area; Qualitative research; Human resources; Perception","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005396928,0.000119441,0.000237941,0.0001653525,0.0002950111,0.00002721412,0.0003925936,0.0001406968,0.1166266],"category_scores_gemma":[0.003463948,0.00009563217,0.00006017163,0.0003639709,0.00005148314,0.00002432979,0.000129965,0.0003971248,0.00006373214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009763124,"about_ca_system_score_gemma":0.0001076376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0356889,"about_ca_topic_score_gemma":0.428241,"domain_scores_codex":[0.9964507,0.002477356,0.0002072629,0.0002024871,0.0004925542,0.0001696872],"domain_scores_gemma":[0.9975027,0.001714025,0.0001934072,0.00045603,0.00004651719,0.00008729302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003116587,0.0001665336,0.00001816302,0.0004200132,0.00001636611,0.0003303901,0.6947803,5.774998e-8,4.818672e-7,0.00006615939,0.2975529,0.006645537],"study_design_scores_gemma":[0.0002826597,0.0001126039,0.000550343,0.01326079,0.000007473252,0.000006380651,0.4271425,0.000001675269,5.044428e-7,0.00001892502,0.558485,0.0001311638],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09123956,0.003398732,2.640123e-7,0.006238372,0.0005211759,0.005757411,0.02663675,0.000341858,0.8658659],"genre_scores_gemma":[0.7102505,0.01071569,0.00004958776,0.001552955,0.003049322,0.002862247,0.06543371,0.0007210894,0.2053649],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.660501,"threshold_uncertainty_score":0.9707325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7384770250552332,"score_gpt":0.549299577720358,"score_spread":0.1891774473348752,"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."}}