{"id":"W4308638720","doi":"10.1503/cmaj.1096023","title":"Primary care is facing a capacity crisis — can pandemic lessons help chart a path forward?","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Table (database); Pandemic; Coronavirus disease 2019 (COVID-19); Primary care; Path (computing); Chart; Computer science; Operations research; 2019-20 coronavirus outbreak; Data science; Medicine; Engineering; Data mining; Family medicine; Virology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01598379,0.0008348524,0.0008391944,0.001414309,0.01456437,0.01617062,0.003338919,0.02393862,0.0169995],"category_scores_gemma":[0.04083808,0.0007883913,0.001270273,0.001492591,0.01340744,0.01837142,0.007836879,0.0364207,0.003104566],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04017919,"about_ca_system_score_gemma":0.1724523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4763074,"about_ca_topic_score_gemma":0.7328131,"domain_scores_codex":[0.9908198,0.002201597,0.0003344765,0.0004945674,0.002548093,0.00360145],"domain_scores_gemma":[0.9557214,0.01215297,0.001410121,0.001191081,0.009171743,0.02035257],"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":[0.00002968894,0.0000483147,0.001062928,0.0002655553,0.0000270227,0.0002720185,0.002824728,0.0001495873,0.0001202176,0.01583308,0.9474675,0.03189945],"study_design_scores_gemma":[0.00006949685,0.00006291801,0.004543329,0.001201423,0.00003082258,0.0001798086,0.01527846,0.0002780349,0.0001214371,0.02509624,0.9530292,0.0001087148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003320591,0.001880536,0.0001511627,0.9898968,0.005062089,0.000008715556,0.00006006443,0.00002580539,0.002582722],"genre_scores_gemma":[0.03322421,0.01636346,0.001820515,0.9217879,0.01713617,0.00007068333,0.0002981504,0.00009911828,0.009199742],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9598208,"threshold_uncertainty_score":0.94707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03557455587226172,"score_gpt":0.354552486024556,"score_spread":0.3189779301522943,"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."}}