{"id":"W4308577345","doi":"10.3390/ijerph192114524","title":"Medical Devices, Invisible Women, Harmful Consequences","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Invisibility; Function (biology); Tracking (education); Medicine; Psychology; Computer science; Biology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008804423,0.0009307447,0.001414922,0.001213103,0.005994051,0.004868117,0.003255524,0.03280936,0.004813335],"category_scores_gemma":[0.04669434,0.0005640053,0.001396807,0.0008206586,0.01559746,0.006740302,0.003357257,0.02908869,0.001295313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004223789,"about_ca_system_score_gemma":0.006706852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0120323,"about_ca_topic_score_gemma":0.01563176,"domain_scores_codex":[0.9909518,0.003996421,0.0007486714,0.001112671,0.002405027,0.0007853361],"domain_scores_gemma":[0.9673225,0.02708745,0.001188989,0.0005150913,0.003094096,0.0007918773],"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":[0.00007629092,0.00002319933,0.000406011,0.001021664,0.00004643249,0.0009466079,0.005583509,0.0001141585,0.0001452411,0.08997975,0.8778563,0.02380081],"study_design_scores_gemma":[0.00002427599,0.00003797423,0.0004422848,0.00298007,0.0000407418,0.0007445537,0.002882048,0.00005577301,0.0001221091,0.03049296,0.9621323,0.00004485455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0002979138,0.04056031,0.0002215762,0.9131437,0.04082586,0.000007311159,0.00002708107,0.00000908496,0.004907277],"genre_scores_gemma":[0.008449691,0.02251553,0.0001962362,0.892493,0.0716424,0.00002713883,0.00001294761,0.00002890225,0.004634163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03280936,"threshold_uncertainty_score":0.04656279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1670118300060565,"score_gpt":0.4524186550749597,"score_spread":0.2854068250689032,"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."}}