{"id":"W2981691678","doi":"10.22605/rrh2467","title":"Journal Search - issue 4, 2012","year":2012,"lang":"en","type":"article","venue":"Rural and Remote Health","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rural health; Rural area; Library science; MEDLINE; Health information; Medicine; Political science; Health care; Computer science","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002461513,0.0001810476,0.0003831916,0.00009579089,0.002345429,0.00001426435,0.0001370747,0.0002099208,0.001544757],"category_scores_gemma":[0.00005055245,0.0001286102,0.00006276929,0.0002103168,0.00007501116,0.0003595134,0.0001220653,0.001312702,0.001497366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000321738,"about_ca_system_score_gemma":0.0004463114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733442,"about_ca_topic_score_gemma":0.0001128342,"domain_scores_codex":[0.9959946,0.0009311649,0.0006756393,0.0001420206,0.0003549496,0.001901684],"domain_scores_gemma":[0.9976184,0.0002015637,0.0002302736,0.0002128686,0.0001224456,0.001614493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001233753,0.00007829432,0.03685905,0.001228944,0.00002703939,0.0000050829,0.01391733,0.000001486333,0.00001928992,0.002654654,0.3287873,0.6162981],"study_design_scores_gemma":[0.000628775,0.0001896376,0.04433611,0.0009421057,0.000007595172,0.0001278071,0.00834007,0.00008074963,0.000002838088,0.0005308011,0.9446427,0.0001708618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6706859,0.1208043,0.0006750693,0.1469854,0.01068637,0.00245369,0.00003215556,0.0003729117,0.04730412],"genre_scores_gemma":[0.8193028,0.04556144,0.008729025,0.03404469,0.01321557,0.000006348272,0.00003487766,0.00009630243,0.07900894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6161273,"threshold_uncertainty_score":0.999368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05796913742355524,"score_gpt":0.460554656779868,"score_spread":0.4025855193563128,"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."}}