{"id":"W6977046240","doi":"10.6084/m9.figshare.28348671","title":"Additional file 1 of The impact of remuneration, extrinsic and intrinsic incentives on interprofessional primary care teams: results from a rapid scoping review","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Geotourism and Geoheritage Conservation","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University Health Network; University of Toronto","funders":"","keywords":"Primary care; Incentive; Work (physics); Primary health care; Quality (philosophy); Intervention (counseling)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003275024,0.00008349331,0.0001547546,0.00004216053,0.00008521662,0.00001225832,0.0001288952,0.0000419142,0.8201107],"category_scores_gemma":[0.001827565,0.00005415174,0.0000700099,0.000204456,0.00002065425,0.0001191549,0.00004036939,0.00009553927,0.00004967838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008156545,"about_ca_system_score_gemma":0.0004817152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002675087,"about_ca_topic_score_gemma":0.0002504229,"domain_scores_codex":[0.9992692,0.00009987099,0.0002579524,0.0001593146,0.0001390164,0.00007466323],"domain_scores_gemma":[0.9982401,0.001234663,0.0002028319,0.0001684248,0.0001322388,0.0000217407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005706292,0.000007812013,0.0006825636,0.0008613871,0.00001178987,5.282876e-7,0.00008329373,0.00001393998,0.000002044445,1.51749e-7,0.9549821,0.04329733],"study_design_scores_gemma":[0.0001992328,0.00005117318,0.6909783,0.2999915,0.000005732759,4.640182e-7,0.00006626405,0.0001119637,0.00002664574,0.00004025193,0.008463157,0.0000653339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003728674,0.005729298,5.943846e-8,0.00006731213,0.00003113701,0.0003352487,0.9877172,0.000006877452,0.00238422],"genre_scores_gemma":[0.0443779,0.00007278391,0.0000778414,0.0002566454,0.00003412212,0.00002473224,0.9550218,0.000001364295,0.0001328295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.946519,"threshold_uncertainty_score":0.2208244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825943160079152,"score_gpt":0.25287689819375,"score_spread":0.2346174665929585,"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."}}