{"id":"W2915224769","doi":"10.1071/ah18213","title":"Taking the pulse of the health services research community: a cross-sectional survey of research impact, barriers and support","year":2019,"lang":"en","type":"article","venue":"Australian Health Review","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Sampling frame; Thematic analysis; Descriptive statistics; Health economics; Public relations; Health services research; Medical education; Medicine; Psychology; Public health; Qualitative research; Political science; Nursing; Population; Sociology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1219702,0.0001741675,0.0009483988,0.0002373781,0.0009348016,0.00003615102,0.0007020712,0.000137449,0.001932167],"category_scores_gemma":[0.0231818,0.00009082908,0.0001399843,0.002248613,0.001210752,0.0001128173,0.0003336135,0.003668047,0.00004080288],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005888172,"about_ca_system_score_gemma":0.02631729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.124123,"about_ca_topic_score_gemma":0.002317451,"domain_scores_codex":[0.9805104,0.01250804,0.001402352,0.0003236535,0.003145312,0.002110216],"domain_scores_gemma":[0.9849014,0.004540747,0.0006966263,0.001815437,0.002251069,0.005794711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002295862,0.0000990086,0.9002562,0.06635535,0.00003918767,0.00000206595,0.0009740418,2.183298e-7,0.000013921,0.00006567748,0.01107376,0.02089104],"study_design_scores_gemma":[0.000624112,0.00239452,0.9643119,0.01311556,0.000004158143,0.00006910099,0.0004520758,0.0000054364,0.00001709327,0.00003014782,0.0189232,0.00005267721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919083,0.03783594,3.417538e-7,0.0633594,0.0001597539,0.005759107,0.0002484813,0.00001363997,0.0007150696],"genre_scores_gemma":[0.92485,0.06396326,0.00001375973,0.01018663,0.00005500089,0.00004450752,0.00006192747,0.00002318385,0.0008017469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1218055,"threshold_uncertainty_score":0.9989802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5620553047708485,"score_gpt":0.6382402643977638,"score_spread":0.0761849596269153,"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."}}