{"id":"W4285118729","doi":"10.5937/smclk3-37722","title":"Changes in primary health care in response to the COVID-19 pandemic in Montenegro","year":2022,"lang":"en","type":"article","venue":"Srpski medicinski casopis Lekarske komore","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Pandemic; Medicine; Montenegro; Health care; Public health; Descriptive statistics; Outbreak; Quarter (Canadian coin); Family medicine; Coronavirus disease 2019 (COVID-19); Environmental health; Geography; Nursing; Disease; Economic growth; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0006104166,0.0001258931,0.000241676,0.0007216508,0.0004648174,0.0007707304,0.0004173454,0.0005120023,0.002002242],"category_scores_gemma":[0.002031029,0.0001524988,0.0004297745,0.001140368,0.0004024342,0.0004573835,0.0008788425,0.0005600335,0.0001150736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00335118,"about_ca_system_score_gemma":0.001956344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1318789,"about_ca_topic_score_gemma":0.1565833,"domain_scores_codex":[0.9990401,0.0002440549,0.00009864877,0.0001567413,0.0001222554,0.0003381991],"domain_scores_gemma":[0.9984388,0.0002144799,0.0008334525,0.00004402417,0.000136976,0.0003323691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001343857,0.0001001331,0.9930265,0.0001798917,0.00005351976,0.0003768427,0.001132325,0.0001866931,0.0002428282,0.00008294316,0.001004764,0.003479125],"study_design_scores_gemma":[0.000002558641,0.00003368574,0.9975573,0.00003881849,0.000009872369,0.0001296178,0.00161274,0.00008591315,0.00002839994,0.00001035801,0.0004861851,0.000004639564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950575,0.0006282112,0.00005328408,0.0004622726,0.00002073807,0.0000294057,0.002327601,0.000005151899,0.001415869],"genre_scores_gemma":[0.9985488,0.0002532398,0.00008118289,0.000119145,0.00001447643,0.00002293849,0.0007908962,0.000001539796,0.0001677063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1318789,"threshold_uncertainty_score":0.2622226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0792081499796193,"score_gpt":0.4005955253556227,"score_spread":0.3213873753760034,"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."}}