{"id":"W4394315675","doi":"10.6084/m9.figshare.c.3786344_d5","title":"Additional file 5: Table S4a. of Nurses who work in rural and remote communities in Canada: a national survey","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Work (physics); Database; Geography; Computer science; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001228623,0.0009298424,0.001267743,0.003385652,0.001828963,0.002167993,0.002156562,0.0009677279,0.3314162],"category_scores_gemma":[0.0179721,0.0007387467,0.001123267,0.009392058,0.000453814,0.00133669,0.001497673,0.001443106,0.04619256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008128237,"about_ca_system_score_gemma":0.01727577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7830924,"about_ca_topic_score_gemma":0.861167,"domain_scores_codex":[0.9989467,0.0001064855,0.0001737785,0.0002122367,0.0002603214,0.0003005235],"domain_scores_gemma":[0.9896123,0.003138136,0.0008278062,0.000678044,0.004989031,0.0007546892],"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":[0.00005290658,0.00002285331,0.005052153,0.000801761,0.00002886495,0.00001474058,0.00005456739,0.0001752361,0.000009469377,0.0002550112,0.9916204,0.001911909],"study_design_scores_gemma":[0.001190587,0.000047886,0.1086322,0.00406043,0.0001605142,0.0001177626,0.001190544,0.0008486219,0.0001932502,0.001833039,0.8816232,0.0001020044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008275762,0.00001741751,0.00001348093,0.00003816405,0.000006320548,0.00001435155,0.9995298,0.00001437469,0.0002832237],"genre_scores_gemma":[0.002610958,0.0001239717,0.000284844,0.0001383023,0.0000171098,0.000331665,0.9935453,0.00005256738,0.002895214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3314162,"threshold_uncertainty_score":0.9536536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155828002259162,"score_gpt":0.4156052118151575,"score_spread":0.3000224115892413,"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."}}