{"id":"W3199427128","doi":"10.1016/j.contraception.2021.07.079","title":"POSTER ABSTRACTS","year":2021,"lang":"en","type":"article","venue":"Contraception","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Medicine; Quarter (Canadian coin); Logistic regression; Ethnic group; Family medicine; Pandemic; The Internet; Health care; Medical emergency; Gerontology; Coronavirus disease 2019 (COVID-19); Geography; World Wide Web","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001755181,0.001086046,0.0007550792,0.001763705,0.001672092,0.005156802,0.002178995,0.002596447,0.7841113],"category_scores_gemma":[0.004097016,0.0004034338,0.001105667,0.001240665,0.0005013776,0.002992705,0.004402441,0.002376839,0.5713925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393457,"about_ca_system_score_gemma":0.003001502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316912,"about_ca_topic_score_gemma":0.001992103,"domain_scores_codex":[0.9986197,0.00025059,0.000113079,0.000261608,0.0005306691,0.0002242957],"domain_scores_gemma":[0.9973273,0.000274648,0.0001241157,0.0002579221,0.001030614,0.0009852583],"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":[0.00009987796,0.00008915292,0.0003153092,0.0003768034,0.000006900635,0.0001192688,0.0000792944,0.00005000706,0.0002627838,0.003241465,0.8882764,0.1070827],"study_design_scores_gemma":[0.00002610482,0.00003752135,0.0005563064,0.0002538641,0.000005154963,0.0001164868,0.0001440612,0.00003758448,0.0001343049,0.001277943,0.9974045,0.000006082836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001632918,0.004117409,0.002265667,0.01283511,0.02745016,0.0007284016,0.006184242,0.001347424,0.9434386],"genre_scores_gemma":[0.008986245,0.003552047,0.001619185,0.004395677,0.006837223,0.0004186399,0.004940729,0.000590556,0.9686598],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2158887,"threshold_uncertainty_score":0.307939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893318762938559,"score_gpt":0.3296017226731273,"score_spread":0.3006685350437417,"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."}}