{"id":"W3205523919","doi":"10.2196/34211","title":"Correction: Person-Generated Health Data in Women’s Health: Protocol for a Scoping Review","year":2021,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"","keywords":"Protocol (science); Computer science; Data science; Medicine; Psychology; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.1185646,0.004811905,0.007867884,0.01464178,0.003668561,0.009315454,0.006946028,0.01281878,0.2479031],"category_scores_gemma":[0.5824613,0.004953905,0.0110926,0.015677,0.00372444,0.006628818,0.009014864,0.01452411,0.05846555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01205028,"about_ca_system_score_gemma":0.05006101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005399,"about_ca_topic_score_gemma":0.0261778,"domain_scores_codex":[0.8528231,0.05767983,0.05439707,0.006133592,0.02461503,0.004351347],"domain_scores_gemma":[0.604857,0.1886669,0.03029114,0.02926668,0.1428252,0.004093032],"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":[0.000385831,0.00001145928,0.0001042119,0.0380361,0.0003481498,0.0001195109,0.0002618983,0.0001307648,0.0001011294,0.001524695,0.946184,0.01279218],"study_design_scores_gemma":[0.002148931,0.0000752612,0.001711587,0.07698467,0.001277429,0.0002512627,0.0003669243,0.0003942491,0.0004256931,0.006014216,0.9100826,0.0002671834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"protocol","genre_scores_codex":[0.0004792451,0.008665854,0.01424155,0.1481373,0.5254453,0.03454062,0.2529151,0.005499093,0.0100759],"genre_scores_gemma":[0.01542724,0.02869465,0.09809833,0.136517,0.06001087,0.4210146,0.09433365,0.00878893,0.1371148],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.2479031,"threshold_uncertainty_score":0.8293184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8810786585338867,"score_gpt":0.7352301166981954,"score_spread":0.1458485418356913,"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."}}