{"id":"W4229867497","doi":"10.21203/rs.3.rs-219357/v1","title":"Support Mechanisms for Research Generation and Application for Post–Graduate Students in Four Universities in Uganda","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Mbarara University of Science and Technology","keywords":"Likert scale; Medical education; Psychology; Tying; Post graduate; Intervention (counseling); Scale (ratio); Graduate students; Medicine; Mathematics education; Nursing; Computer science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04704697,0.0005179753,0.0004649223,0.005307125,0.004121355,0.006145042,0.002887373,0.001807134,0.01024553],"category_scores_gemma":[0.118436,0.0008386129,0.0006557157,0.00268567,0.002583688,0.00210838,0.009608418,0.001259587,0.001011874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0045161,"about_ca_system_score_gemma":0.01824663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074521,"about_ca_topic_score_gemma":0.001504764,"domain_scores_codex":[0.9511727,0.03377378,0.003344831,0.001468907,0.005774366,0.004465398],"domain_scores_gemma":[0.8183541,0.08423717,0.0370353,0.01534269,0.01817367,0.02685699],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000486575,0.002535581,0.5714322,0.001274039,0.0001596839,0.00147159,0.0512654,0.0004739352,0.002688847,0.004839184,0.004586575,0.3587865],"study_design_scores_gemma":[0.0005979544,0.004881085,0.7425819,0.002045549,0.0002850165,0.002231147,0.1685149,0.004035392,0.004579497,0.007267066,0.06275907,0.0002214983],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807082,0.0006624001,0.003463624,0.004660269,0.00005435502,0.001215508,0.0001030313,0.0001212961,0.009011304],"genre_scores_gemma":[0.9941062,0.0002305598,0.004023297,0.0002285008,0.00002416977,0.0004374966,0.00004721649,0.000006451394,0.0008961347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.952953,"threshold_uncertainty_score":0.2488111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4377913461394027,"score_gpt":0.5824102659465983,"score_spread":0.1446189198071955,"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."}}