{"id":"W2515212949","doi":"10.5430/jha.v5n6p14","title":"Idaho rural physician technology usage over time","year":2016,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Medicine; Workforce; Health information technology; Family medicine; Rural area; Health care; Rural health; Economic growth; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006488486,0.0001131079,0.00008816022,0.0007594451,0.0004873366,0.0004985107,0.0001969629,0.0002128129,0.002784744],"category_scores_gemma":[0.00375941,0.00006623696,0.00009142449,0.001095763,0.00019759,0.0003194484,0.0005180864,0.0001910194,0.0004082057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007436023,"about_ca_system_score_gemma":0.0006702729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009364259,"about_ca_topic_score_gemma":0.01215551,"domain_scores_codex":[0.9993796,0.0002488235,0.00004916789,0.00008218374,0.000149126,0.00009099817],"domain_scores_gemma":[0.9970787,0.001080605,0.001118866,0.00008959421,0.0004246404,0.0002075893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001896511,0.000166075,0.9543964,0.0001556642,0.00002230464,0.0002521737,0.005945296,0.0001874153,0.001228671,0.0001093725,0.0008752212,0.03647168],"study_design_scores_gemma":[0.000007448115,0.0001493211,0.9925482,0.00005135059,0.0000104379,0.0002933223,0.004033527,0.0001629183,0.0004374844,0.00002652443,0.002274319,0.000005075648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971089,0.0001548926,0.00009153946,0.0002330775,0.000003463937,0.00001525678,0.0003813748,0.000005565176,0.002005972],"genre_scores_gemma":[0.9984049,0.0002643273,0.0002567929,0.0001355946,0.000008954384,0.00003809369,0.0002412056,0.000001366273,0.000648824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009364259,"threshold_uncertainty_score":0.01861948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006294448159442223,"score_gpt":0.2852904857235878,"score_spread":0.2789960375641456,"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."}}