{"id":"W3123986749","doi":"10.26443/mjm.v15i1.65","title":"Assessing and Improving Processes and Outcomes of the McGill Primary Health Care Research Network (summer bursary)","year":2017,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"General partnership; Thematic analysis; Knowledge management; Medical education; Medicine; Citizen journalism; Workforce; Health care; Qualitative research; Public relations; Computer science; Sociology; World Wide Web; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.1859982,0.0004679655,0.0004888398,0.003137076,0.005761989,0.005794618,0.003067063,0.0009813397,0.003540706],"category_scores_gemma":[0.3102028,0.0005073959,0.0005905694,0.00299357,0.001940689,0.004843072,0.0108425,0.001944111,0.0004359365],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03198956,"about_ca_system_score_gemma":0.06509028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09609374,"about_ca_topic_score_gemma":0.1219059,"domain_scores_codex":[0.830762,0.1331281,0.006034194,0.004938826,0.02023151,0.004905386],"domain_scores_gemma":[0.7427254,0.1220541,0.03514822,0.01486164,0.05659791,0.02861281],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004456473,0.000733303,0.3851609,0.002315255,0.0001653724,0.0002785388,0.0599357,0.0009565274,0.0005813926,0.008201088,0.07926197,0.4619644],"study_design_scores_gemma":[0.0002270332,0.001638851,0.824487,0.005079129,0.0002285809,0.0002113778,0.05490161,0.004124119,0.001610021,0.006889775,0.100412,0.0001906215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7120617,0.0059874,0.02400695,0.1451263,0.001670277,0.01415807,0.004891704,0.0008958342,0.09120183],"genre_scores_gemma":[0.927644,0.001392851,0.051241,0.004469585,0.0002104825,0.008931462,0.001515722,0.0001202868,0.004474672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9680104,"threshold_uncertainty_score":0.9836643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3134349960012564,"score_gpt":0.5712675838944252,"score_spread":0.2578325878931688,"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."}}